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A Rigid-Body Pendulum Model for Plyometric Push-Up Biomechanics: Analytical Derivation and Numerical Quantification of Flight Time, Arc Displacement, Maximum Height, and Mechanical Power Output

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13 March 2026

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17 March 2026

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Abstract
Aim: Conventional free-fall kinematic models applied to plyometric push-up assessment treat the upper body as a vertically translating point mass, a simplification that ignores the curvilinear, arc-like trajectory imposed by the ankle pivot and systematically biases flight-time and height estimates. This study developed and analytically validated a novel rigid-body pendulum model to quantify plyometric push-up performance, deriving closed-form expressions for flight time, arc displacement, maximum height, and mean mechanical power at both the hand and whole-body center-of-mass reference levels. Methods: A planar rigid pendulum pivoting about the ankle axis was formulated using two independent derivation pathways, static moment equilibrium and a gravitational-torque center-of-mass coordinate approach, yielding the effective pendulum length L=(MW/M)×LOS. All performance indices were derived analytically from conservation of mechanical energy. Numerical simulations were conducted in R across seven pendulum arm lengths (LOW=0.50–2.00 m) and 500 uniformly spaced initial hand velocities per length, using adaptive Gauss-Kronrod quadrature with relative tolerance 10-10 and independent ODE cross-validation (maximum inter-method discrepancy <2.5×10-7 s). Free-fall and pendulum model predictions were compared parametrically across the full physiologically admissible parameter space. Results: Both derivation pathways operationalize identical static rotational equilibrium conditions and yield the effective pendulum length (below); the geometric deviation between dOG and L remains below 4% for θ₀ ≤ 16°. Flight time equivalence between hands and center of mass (tH=tG) was formally established. The free-fall model systematically overestimated flight time by up to 18.82% (Δt=0.096 s at LOW= 0.50 m, VH,0=2.50 m/s) and maximum height by up to 28.43% (Δh=0.087 m at LOW= 0.50 m, t=0.50 s), with both errors increasing nonlinearly with initial velocity and flight time. Overestimation in height was proportionally greater at shorter pendulum arm lengths, reaching 18.18% at t=0.30 s for LOW=0.50 m versus 10.91% for LOW=1.00 m under identical conditions. Conclusion: The pendulum model provides a physically consistent, analytically tractable, and computationally validated framework for plyometric push-up performance assessment. It resolves the structural overestimation errors of the free-fall simplification, requires only four anthropometric measurements obtainable in field conditions, and supplies geometry-adjusted performance indices that improve measurement accuracy, particularly for athletes with shorter effective arm lengths or high take-off velocities.
Keywords: 
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Subject: 
Engineering  -   Bioengineering

1. Introduction

Upper-body muscular power is a fundamental determinant of athletic performance across a wide spectrum of sports, including combat sports, swimming, throwing events, gymnastics, and rugby, and its accurate assessment carries direct implications for talent identification, training program evaluation, and fatigue monitoring in competitive populations [1,2,3]. In contrast to the extensive body of literature characterizing lower-body explosive capacity through vertical jump testing, the evaluation of upper-body power remains methodologically less mature, constrained by a comparatively smaller number of validated assessment tools and by longstanding conceptual inconsistencies in how those tools are applied and interpreted. The principal challenge is the absence of a standardized, field-deployable test that is simultaneously physically valid, analytically tractable, and free of systematic measurement bias. Addressing that challenge requires not only sound instrumentation but also a mechanically accurate kinematic model capable of translating raw observational data, such as flight time, into performance indices that correctly represent the underlying physics of upper-body ballistic motion.
The most widely established methods for assessing upper-body explosive power are the seated medicine ball throw, the bench press throw, and, more recently, the ballistic push-up (BPU). Each presents logistical or conceptual limitations. The medicine ball throw requires an arbitrary choice of implement mass and has demonstrated modest correlations with force-plate-derived power in certain populations [4]. The bench press throw is typically executed in a Smith machine and requires a Smith machine fixture and continuous spotter presence, substantially restricting its use in large-scale field testing [5]. The BPU has attracted growing attention precisely because it requires no specialized equipment beyond a force plate or contact mat, recruits the same musculature as the bench press, and generates a measurable flight phase during which both hands lose contact with the ground simultaneously. Wang et al. [4] demonstrated that force-time-derived performance measures from the BPU, including peak force, mean force, net impulse, and peak velocity, exhibited moderate to very high test-retest reliability (ICC = 0.849–0.971) across 60 recreationally active men, and that BPU-derived mean force predicted one-repetition maximum bench press with R2 = 0.837. Bartolomei et al. [5] subsequently confirmed that the BPU provides power estimates comparable to those of the bench press throw, with very large to extremely large correlations (r = 0.70–0.89) between the two methods, without requiring a Smith machine or spotter infrastructure.
The biomechanical complexity of the plyometric push-up fundamentally distinguishes it from vertical jump-based assessment paradigms. Unlike the vertical jump, where the center of mass follows a predominantly rectilinear trajectory under gravitational deceleration, the plyometric push-up involves segmental rotation about a fixed ankle pivot, such that the hands, the shoulders, and the center of mass all trace curvilinear arcs throughout the flight phase. This constraint imposes pendular mechanics on the motion, rendering the equations of purely vertical ballistic flight physically inappropriate for quantifying hand displacement, maximum height, and take-off velocity from a measured flight time. Additionally, the stretch-shortening cycle dynamics of the upper extremities differ from their lower-body counterparts due to distinct muscle architecture, neural activation patterns, and the contribution of trunk and core musculature to proximal force transmission, all of which introduce analytical complexities absent from conventional jump models [6,7].
Despite these recognized characteristics, the kinematic model universally applied to BPU flight-phase scoring continues to treat the body as a freely falling point mass, yielding tflight=2V0/g and hmax=V02/2g. This free-fall approach is appropriate for the vertical jump but introduces a structural error of compounding magnitude when applied to a rotationally constrained movement. Sha and Dai [8] demonstrated, using a two-platform reference method, that single-platform methods overestimated whole-body velocities by approximately 54% (1.39 ± 0.37 m/s vs. 0.90 ± 0.23 m/s, Cohen’s d = 1.59, p < 0.05) and power by approximately 58% (1.63 ± 0.47 vs. 1.03 ± 0.29 W/body weight, Cohen’s d = 1.49, p < 0.05) relative to a two-force-platform reference method. Wang et al. [4] separately identified that flight time alone accounted for only 43% of the variance in peak take-off velocity (r = 0.656), with arm length differences across individuals cited as a principal source of unexplained residual variance; the free-fall model provides no mechanism to correct for this geometry-dependent heterogeneity. Dhahbi et al. [6], in a comprehensive systematic review of push-up kinetics, explicitly identified the validity of power output calculations in explosive push-ups as a contested issue and recommended that methodological rigor be prioritized when quantifying mechanical work and power from flight-phase data.
Despite these recognized limitations, no published study has developed a formally derived mechanical model that replaces the free-fall simplification with a physically appropriate description of the rotational flight-phase trajectory of the plyometric push-up. The present study addresses this gap by formulating a rigid-body pendulum model that treats the body as a single-link pendulum pivoting about the ankle. Specifically, this investigation aimed to: (i) derive the effective pendulum length from two independent anthropometric frameworks and establish their mathematical equivalence; (ii) determine the flight time of the hands and the whole-body center of mass through analytically and numerically validated expressions; (iii) calculate the arc displacement of the hands and center of mass along their respective circular trajectories; (iv) quantify the maximum vertical height reached by both reference points from the measured take-off velocity; and (v) establish and numerically quantify the systematic divergence between free-fall and pendulum model predictions of flight time and maximum height across the full physiologically admissible parameter space.

2. The Pendulum Model: Conceptualization and Geometric Framework

2.1. Model Conceptualization and Biomechanical Rationale

The mechanical analysis of a plyometric push-up presents a fundamental challenge that differentiates it from lower-body plyometric assessments. In vertical jump protocols, the body’s center of mass (CoM) undergoes ballistic displacement oriented along the gravitational axis, allowing flight-phase kinematics to be modeled by equations of uniformly accelerated rectilinear motion. In a plyometric push-up, the upper body does not translate vertically as a free-falling point mass; rather, the body rotates about the ankle joint complex (point O), and the CoM traverses a curvilinear, arc-like path in the sagittal plane. The application of conventional free-fall kinematic models introduces systematic overestimations of flight time and maximum height, because those models disregard the continuous exchange between kinetic and potential energy that characterizes rotational dynamics.
The present framework conceptualizes the human body during a plyometric push-up as a rigid planar pendulum pivoting about the fixed ankle axis, point O. The effective pendulum arm connects O to the global CoM (point G) with length L (m). The hand contact point W travels along a distinct arc of radius LOW (m). The flight phase is initiated at the instant the vertical ground reaction force under the hands falls to zero, at which moment the system possesses an angular velocity ωO (rad/s) about O. The subsequent motion is treated as that of a conservative rigid pendulum, with gravitational potential energy governing the trajectory until the hands return to the ground (Figure 1).

2.2. Anthropometric Measurements and Body Segmentation

Parameterization of the pendulum model requires four primary measurements. Total body mass M (kg) is recorded with the subject standing in the anatomical position. In the static push-up position (arms fully extended and perpendicular to the supporting surface), three additional quantities are obtained: (i) shoulder height LOS (m)—the straight-line distance from the ankle axis O to the acromion process S; (ii) upper-limb length LSW (m)—the distance from the acromion process S to the center of the wrist joint W; and (iii) hand-supported mass MW (kg)—the mass measured by a calibrated scale positioned beneath the hands in static equilibrium. These four quantities collectively determine all governing geometric and inertial parameters of the model.

2.3. Determination of the Effective Pendulum Length (L)

Two independent derivations of the effective pendulum length L are presented below, followed by a formal reconciliation of their results.

2.3.1. Static Equilibrium Approach

In the initial static push-up position, the system is in complete rotational equilibrium about O. Three external forces act: the ground reaction force at O (generating no moment about O), the total body weight Mg acting vertically downward through G, and the vertical reaction force MWg acting vertically upward at W. The vector moment equation about O in the sagittal plane is:
M O = O G × M g j ^ + O W × M W g j ^ = 0
With the coordinate origin at O, the position vectors are:
O G = L c o s θ 0 L s i n θ 0 0 , O W = L O S c o s θ 0 0 0
Computing the z-component of each cross product:
O G × M g j ^ z = M g L c o s θ 0
O W × M W g j ^ z = M W g L O S c o s θ 0
Setting the sum of z-moments to zero:
M g L c o s θ 0 + M W g L O S c o s θ 0 = 0
Since cosθ0 > 0 for any physiologically admissible push-up configuration (i.e., θ0 < π/2), this factor cancels throughout, yielding:
L = M W M L O S

2.3.2. Center-of-Mass Coordinate Approach

As an independent derivation, the position of G is estimated via a two-point mass model. The total body mass is distributed between the ankle pivot O, bearing the residual mass Mf = M − MW (kg), and the hand contact point W, bearing the measured mass MW. In the world coordinate frame (origin at O, x-axis horizontal, y-axis vertical), both mass points lie at ground level: O at (0,0) and W at (LOW, 0), where LOW denotes the horizontal distance from O to W (established as LOW = LOS cosθ0 in Section 2.4). The Cartesian coordinates of the resulting CoM are:
x G = M W L O W M = M W L O S c o s θ 0 M
y G = M f · 0 + M W · 0 M = 0
The Euclidean distance from O to the computed CoM is therefore:
d O G = x G 2 + y G 2 = M W L O S c o s θ 0 M
To recover the effective pendulum length from this two-point model, the governing criterion must be gravitational torque equivalence rather than geometric distance. The total gravitational torque about O (in the z-direction) produced by the two-point mass system is:
τ g r a v = M W g L O S c o s θ 0
For a simple pendulum of total mass M and effective length Leff inclined at angle θ0 from horizontal, the gravitational torque about O is M g Leff cosθ0. Setting this equal to expression (10) and canceling g cosθ0:
L e f f = M W M L O S
Equations (6) and (11) are identical, confirming the self-consistency of both approaches.

2.3.3. Equivalence and Reconciliation

Both derivation pathways operationalize the same static rotational equilibrium condition about O, so their convergence is mathematically obligatory rather than independently confirmatory. Both yield:
L = L e f f = M W M L O S
A precise conceptual distinction must, however, be drawn between this effective length and the Euclidean distance dOG obtained from equation (9). Comparing (9) and (12):
d O G = M W L O S c o s θ 0 M = L c o s θ 0
The Euclidean distance dOG is smaller than L by the factor cosθ0. The origin of this discrepancy lies in the geometric constraint imposed by the two-point mass model: by placing both mass points at y = 0 (ground level), the model necessarily produces yG = 0, forcing the computed CoM onto the horizontal axis. The true CoM G, however, lies along the inclined pendulum axis O-S at height L sinθ0 =(MW/M) LOS sinθ0 > 0. The two-point model therefore correctly reproduces the horizontal projection of G (equation 7 recovers xG = L cosθ0 = dOG), but systematically underestimates the height of G.
The physical resolution is that L in this model is not defined as the Euclidean distance from O to the geometric position of G in world coordinates. It is defined, consistently across both approaches, as the ratio of gravitational torque to total gravitational force:
L τ g r a v M g c o s θ 0 = M W g L O S c o s θ 0 M g c o s θ 0 = M W L O S M
This definition is the mechanically operative one: it is the quantity L that appears in the equation of angular motion I θ ¨ = M g L c o s θ and in all subsequent energy conservation derivations. The two-point mass model is therefore a valid mechanical surrogate for torque analysis, not a geometric surrogate for locating G in three-dimensional space. In practice, the deviation between dOG and L is proportional to (1 − cosθ0), which is less than 4\% for θ0 ≤ 16° (since cos16° ≈ 0.961), the range encompassing the great majority of adult push-up configurations. Throughout all subsequent derivations, L = (MW/M) LOS is adopted as the governing dynamic parameter.
It must be noted that L is the torque-equivalent simple pendulum length, not the equivalent length for a compound pendulum of distributed mass. The dynamically correct equivalent pendulum length is: L eq   =   I O M · L CoM and I O   =   I CoM   +   M · L CoM 2 .

2.4. Determination of the Initial Pendulum Angle (θ0)

The initial angle θ0 characterizes the orientation of the pendulum axis (line O-G, collinear with line O-S) relative to the horizontal plane in the starting push-up configuration. In the static push-up position, the arms are extended perpendicularly to the supporting surface, so that the wrist W lies directly below the shoulder S. The shoulder S is located at world coordinates (LOS cosθ0, LOS sinθ0). Because the arms are vertical, the wrist W is displaced vertically below S by the distance
LSW, giving:
W = L O S c o s θ 0 , L O S s i n θ 0 L S W
For W to lie at ground level (i.e., yW = 0, as required by the physical setup), the vertical coordinate must vanish:
L O S s i n θ 0 L S W = 0
Solving for θ0:
θ 0 = a r c s i n L S W L O S
where the argument is defined for LSW < LOS, which is always satisfied for physiologically normal proportions. This relation establishes the geometric consistency of the model: the perpendicularity of the arms to the floor, combined with the anthropometric lengths LOS and LSW, uniquely determines the initial orientation of the pendulum. From equation (16), the horizontal distance from O to W follows directly:
L O W = L O S c o s θ 0 = L O S 1 L S W L O S 2 = L O S 2 L S W 2
The quantity LOW is the radius of the arc traversed by the hands during the flight phase and appears in all hand-referenced performance indices derived in Section 3.2.

2.5. Model Assumptions and Simplifications

The analytical tractability of the pendulum model is contingent upon the following idealizing conditions, which collectively define its domain of validity.
Rigid Body: The human body is modeled as a single rigid segment throughout the flight phase. During push-off, inter-segmental rotation at the elbow, shoulder, and hip contributes to force generation; the rigid-body constraint applies exclusively from the instant of hand take-off to hand landing, the interval governed by the conservative equations of Section 3. This assumption is most closely approached when subjects maintain strict whole-body tension and avoid joint flexion during execution.
Planar Motion: All motion is restricted to the sagittal plane. Lateral displacement, axial rotation, and inter-limb asymmetry are excluded. The assumption is justified by the bilateral symmetry of standard push-up mechanics and is supported by the planar trajectory of the CoM observed in controlled laboratory conditions.
Fixed Pivot at the Ankles: The ankle joint complex (O) is treated as a frictionless, fixed pivot throughout the motion. No translational displacement of O is permitted in either phase. The ground reaction force at O passes through the pivot and generates no moment about it.
Arms Perpendicular to the Supporting Surface: The initial configuration requires the arms to be fully extended and oriented vertically (perpendicular to the floor). This constraint is necessary to establish the geometric relation sinθ0 = LSW/LOS (equation 17) and to ensure that W lies at ground level at the moment of hand take-off.
Two-Point Mass Distribution: For the purposes of locating the effective CoM, total body mass is distributed between O (mass Mf = M − MW) and W (mass MW). This simplification is mechanically valid for gravitational torque analysis (Section 2.3). It does not account for the distributed inertial properties of the body (Section 2.3.3); the negligible-error claim holds only for moment-arm calculations, not for oscillation-period predictions where IO governs.
Conservative Flight Phase: Aerodynamic drag, limb-damping torques, and any dissipative effects are considered negligible during the flight phase. Aerodynamic drag, limb-damping torques, and any dissipative effects are considered negligible during the flight phase. For a body mass of 75 kg at VH,0 ≤ 3.0 m/s, the peak aerodynamic drag force: F d     1 2 ρ · C d · A · v 2     0.5   N . The system is treated as mechanically conservative from the moment of hand take-off to the moment of hand landing, permitting the direct application of energy conservation throughout Section 3.
Small Difference Between LOW and L: For the purpose of the quarter-period approximation used in power derivations (Section 3.2.4 and Section 3.3.4), the push-off duration is estimated from the linear small-amplitude pendulum period. This approximation introduces errors that grow with initial amplitude; the precise push-off duration for large initial velocities requires numerical integration, as addressed in Section 4.

3. Biomechanical Derivations

3.1. Kinematic Equivalence: Flight Time of the Hands (tH) and Center of Mass (tG)

Because the body is modeled as a rigid pendulum rotating about fixed pivot O, every point shares the same instantaneous angular velocity ω (rad/s). The linear velocity of any point P at Euclidean distance r from O is:
V P = ω r
Directed tangentially to the arc of radius r. Applying this to the hands (W, at distance LOW from O) and to the CoM (G, at distance L from O) at the instant of hand take-off:
V H , 0 = ω 0 L O W
V G , 0 = ω 0 L
Dividing equation (21) by equation (20):
V G , 0 = V H , 0 L L O W
Substituting L = (MW/M) LOS (equation 12) and LOW = LOS cosθ0 (equation 18):
V G , 0 = V H , 0 M W M c o s θ 0
Equation (23) relates the directly measurable initial hand velocity VH,0 to the initial CoM velocity VG,0, which governs the global energetics of the system. Because the ratio MW/(M cosθ0) is always less than unity for physiologically normal mass distributions (MW < M) and push-up angles (cosθ0 < 1 but MW/M < cosθ0 typically), VG,0 is in practice smaller than VH,0.
Since the system is rigid and rotates about a fixed pivot, the angular equation of motion governing the flight phase is identical regardless of which point on the pendulum is used as a reference. The angular displacement traversed from take-off (angle θ0 for G, angle φ0 = 0 for W) to the corresponding maximum and back to the initial angle is the same for all body points in terms of elapsed time. Consequently, the time interval between hand take-off and hand landing, designated tH (s), is equal to the corresponding flight time of the CoM, tG (s):
t H = t G
This identity is of direct practical importance: tH is measurable with standard force-plate instrumentation (as the duration of the off-plate interval) or with contact mats, and equation (24) confirms that this measurement can be used without modification in the CoM-referenced performance equations of Section 3.3. No separate kinematic tracking of the CoM is required.

3.2. Performance Indices for the Hands (Option 1)

The following performance indices characterize the flight phase from the perspective of the hands (W), treated as the end-effector of the pendulum of arm length LOW. The angle φ (rad) denotes the angle of the arm O-W above the horizontal, measured positive upward. In the initial position, φ = 0 (W at ground level) and the tangential velocity of W is VH,0. At maximum displacement, φ = φmax,H and the instantaneous velocity of W is zero. The height of W above its initial position at angle φ is hW(φ) = LOW sinφ.

3.2.1. Maximum Angular Displacement of the Hands (φmax,H)

Applying conservation of mechanical energy between the take-off state (φ = 0, V = VH,0) and the state of maximum displacement (φ = φmax,H, V = 0), and noting that the height gain of W is LOW sinφmax,H:
1 / 2 M W V H , 0 2 = M W g L O W s i n φ m a x , H
Solving:
φ m a x , H = a r c s i n V H , 0 2 2 g L O W
For equation (26) to yield a physically admissible solution, the condition V H , 0 2 2 g L O W must be satisfied, which corresponds to the physical requirement that W does not reach or exceed the height of the pivot O during flight. For representative anthropometric values (LOW ≈ 0.7–0.9 m), this upper bound corresponds to VH,0 ≤ 3.7–4.2 m/s, which encompasses all reported push-up take-off velocities in the literature. An equivalent expression in terms of the measurable system parameters follows directly by substituting L O W = L O S 2 L S W 2 :
φ m a x , H = a r c s i n V H , 0 2 2 g L O S 2 L S W 2

3.2.2. Arc Displacement of the Hands (Shand)

During the ascending half of the flight phase, the hands traverse a circular arc of radius LOW centered at O, from φ = 0 to φ = φmax,H. The total arc length (expressed with φmax,H in radians) is:
S h a n d = L O W φ m a x , H
Substituting equation (26):
S h a n d = L O W a r c s i n V H , 0 2 2 g L O W
This parameter quantifies the total curvilinear path of the hands along the pendular arc. It is distinct from the maximum vertical height hmax,H (Section 3.2.3) and constitutes a spatial performance descriptor that is inaccessible to free-fall models, which implicitly assume rectilinear vertical displacement.

3.2.3. Maximum Vertical Height of the Hands (hmax,H)

The maximum vertical displacement of W above its starting position (ground level) is obtained directly from the height function hW = LOW sinφ:
h m a x , H = L O W s i n φ m a x , H
Substituting sinφmax,H from equation (25):
h m a x , H = V H , 0 2 2 g
Equation (31) is formally identical in structure to the free-fall kinematic relation h = V02/(2g). This formal equivalence does not, however, imply that the pendulum and free-fall models yield the same predictions when flight time tH is used as the experimental input, because the relationship between VH,0 and tH differs fundamentally between the two models. In the free-fall model, V0 = gtH/2 follows directly from constant-acceleration kinematics, giving hmax,FF = gtH2/8. In the pendulum model, the relationship between VH,0 and tH is governed by the nonlinear pendulum equation of motion and requires numerical integration (Section 4.1). The substitution of the free-fall velocity-time relationship into equation (31) would reproduce the free-fall height formula and therefore offer no improvement over the simpler model. The proper usage of equation (31) is in conjunction with the pendulum-derived value of VH,0, as established numerically in Section 4.

3.2.4. Mechanical Power Output at the Hands (Phand)

The mean mechanical power developed by the musculoskeletal system during the push-off phase, referenced to the hands, is defined as the ratio of net mechanical work performed to the duration of the push-off phase. The push-off phase begins with the system at rest in the initial push-up position and concludes at the instant of hand take-off, when the hands possess kinetic energy ½ MW · VH,0. The total mechanical work performed by the muscles is therefore:
W h a n d = 1 / 2 M W V H , 0 2
This equals the mechanical energy stored in the hand-mass subsystem at take-off, consistent with the work-energy theorem applied from the rest state to the take-off instant.
The duration of the push-off phase is equal, by time-reversal symmetry of the conservative pendulum, to the time elapsed from hand take-off to the moment of maximum hand height, denoted tpush,H. For a pendulum of arm length LOW executing small-amplitude oscillations, this duration is approximated by the quarter-period of the linearized (simple harmonic) system:
t p u s h , H π 2 L O W g
The mean mechanical power output at the hands is:
P h a n d = W h a n d t p u s h , H = M W V H , 0 2 π g L O W
It is noted that equation (33) constitutes a small-amplitude approximation, valid strictly for φmax,H ≪ 1 rad. For subjects with high take-off velocities, where φmax,H is not negligible, the exact push-off duration departs from this estimate and must be evaluated by numerical integration of the nonlinear pendulum equation (Section 4.1). The use of equation (34) under large-amplitude conditions will overestimate mean power output to the extent that the true push-off duration exceeds ( π / 2 ) L O W / g .

3.3. Performance Indices for the Center of Mass (Option 2)

The following performance indices characterize the flight phase from the perspective of the CoM (G), treated as the mass point of the pendulum of arm length L. The angle θ (rad) denotes the angle of the pendulum arm O-G above the horizontal, measured positive upward. In the initial position, θ = θ0 > 0 and the tangential velocity of G is VG,0. At maximum displacement, θ = θmax and the instantaneous velocity of G is zero. The height of G above its initial position at angle θ is hG(θ) = L (sinθ − sinθ0).

3.3.1. Maximum Angular Displacement of the CoM (θmax)

Applying conservation of mechanical energy between the take-off state (θ = θ0, V = VG,0) and the state of maximum displacement (θ = θmax, V = 0):
1 / 2 M V G , 0 2 = M g L s i n θ m a x s i n θ 0
Solving for θmax:
θ m a x = a r c s i n V G , 0 2 2 g L + s i n θ 0
Substituting VG,0 = VH,0 ⋅ L/LOW from equation (22) and L/LOW = MW/(M cosθ0) from equations (12) and (18):
θ m a x = a r c s i n V H , 0 2 M W 2 2 g M 2 L O S c o s 2 θ 0 + s i n θ 0
For equation (36) to be physically admissible, the constraint VG,02/(2gL) +sinθ0 ≤ 1 must hold, which sets an upper bound on initial angular velocity corresponding to the physical limit at which G reaches the vertical through O. This constraint is expressed as:
V G , 0 2 g L 1 s i n θ 0
The initial elevation sinθ0 in equation (36) elevates the maximum reachable angle relative to the case θ0 = 0; for a given VG,0, the CoM attains a higher angular position when it begins at a positive initial angle, because part of the potential energy budget is already stored in the initial configuration.

3.3.2. Arc Displacement of the Center of Mass (SG)

During the ascending half of the flight phase, the CoM traverses a circular arc of radius L centered at O, from angle θ0 to θmax. The total arc length (with angles in radians) is:
S G = L θ m a x θ 0
Substituting from equations (12) and (36):
S G = M W L O S M a r c s i n V G , 0 2 2 g L + s i n θ 0 θ 0
This parameter quantifies the total curvilinear displacement of the CoM along its pendular arc, integrating both angular amplitude and pendulum geometry into a single spatial metric. Because SG < hmax is not guaranteed (the arc length along a large-radius, small-angle pendulum can exceed the corresponding vertical rise), SG and hmax provide complementary rather than redundant spatial descriptors.

3.3.3. Maximum Vertical Height of the CoM (hmax)

The maximum vertical rise of G above its take-off position is:
h m a x = L s i n θ m a x s i n θ 0
Substituting sinθmax from equation (35):
h m a x = L V G , 0 2 2 g L + s i n θ 0 s i n θ 0 = V G , 0 2 2 g
Expressed entirely in terms of the directly measurable hand take-off velocity VH,0 and system parameters, by substituting VG,0 = VH,0 ⋅ L/LOW:
h m a x = V H , 0 2 L 2 2 g L O W 2 = M W 2 V H , 0 2 2 g M 2 c o s 2 θ 0
Equation (43) differs from the hand-referenced height (equation 31) by the factor (L/LOW)2 = (MW/(M cosθ0))2. For representative adult values of MW/M ≈ 0.50–0.60 and θ0 ≈ 10° − 15° (cosθ0 ≈ 0.966 − 0.985), this factor ranges from approximately 0.26 to 0.39, confirming that the CoM rises to a substantially smaller height than the hands during the flight phase, consistent with the mechanical expectation that distal points of a pendulum execute larger excursions than proximal ones.

3.3.4. Mechanical Power Output at the Center of Mass (PG)

The mean mechanical power at the CoM level provides a global performance metric integrating the full system mass and CoM kinematics. The net mechanical work performed by the musculoskeletal system on the CoM during push-off, from rest to the take-off state, is:
W G = 1 / 2 M V G , 0 2
The push-off duration at the CoM level is estimated by the quarter-period of the equivalent linearized pendulum of arm length L:
t p u s h , G π 2 L g
As with Eq. (33), the quarter-period approximation in Eq. (45) applies to small angular amplitudes only; the same error bounds described in Section 3.2.4 apply. The mean mechanical power at the CoM is:
P G = W G t p u s h , G = M V G , 0 2 π g L
Substituting VG,0 = VH,0 ⋅ L/LOW and L = MW LOS/M:
P G = M V H , 0 2 π L O W 2 g L
Expanding with L = MW LOS/M and LOW = LOS cosθ0:
P G = M W V H , 0 2 π L O S c o s 2 θ 0 g M W L O S M
The ratio PG/Phand can be formed from equations (46) and (34):
P G P h a n d = M M W L 3 / 2 L O W 3 / 2
Since L/LOW = MW/(Mcosθ0), equation (49) reduces to:
P G P h a n d = M W 1 / 2 M 1 / 2 c o s 3 / 2 θ 0
For typical parameter ranges, this ratio is less than unity (PG < Phand), reflecting that the CoM-referenced power estimate accounts for a smaller effective mass moving at a smaller velocity than the hand-referenced estimate. The two power indices thus provide complementary, non-redundant perspectives on system energy output. As with equation (34), the quarter-period approximation in equation (45) is valid for small angular amplitudes; large initial velocities require numerical treatment of the nonlinear pendulum equation (Section 4).

4. Numerical Simulations

4.1. Flight Time Analysis: Free-Fall Model vs. Pendulum Model

4.1.1. Mathematical Formulations

Two analytical models are implemented numerically to characterize and compare the flight-phase dynamics of a plyometric push-up. Both are evaluated over a systematically varied parameter space in order to quantify the divergence in their respective predictions.
Model A: Free-Fall Model. The hands are treated as a material point undergoing purely vertical ballistic motion under constant gravitational deceleration g. Given initial hand velocity VH,0 (m/s) at take-off, the flight time and maximum height are given by the closed-form kinematic expressions:
t F F = 2 V H , 0 g
h m a x , F F = V H , 0 2 2 g
Model B: Pendulum Model. The hands constitute the end-effector of a rigid pendulum of arm length LOW (m) pivoting about the fixed ankle axis O. The angle φ (rad) denotes the inclination of arm O-W above the horizontal. The angular equation of motion during the conservative flight phase is:
φ ¨ + g L O W c o s φ = 0
From conservation of mechanical energy, the angular velocity at displacement φ satisfies:
φ 0 = 0 , φ ˙ 0 = ω 0 = V H , 0 L O W
The maximum angular displacement φmax,H is reached when φ ˙ = 0 :
φ m a x , H = a r c s i n V H , 0 2 2 g L O W
The total flight time is twice the time required to ascend from φ = 0 to φmax,H:
t H = 2 0 φ m a x , H d φ ω 0 2 2 g L O W s i n φ
The integrand of equation (56) exhibits a square-root singularity at the upper limit φ → φmax,H, where φ ˙ 0 . Direct numerical quadrature applied to equation (56) in its raw form yields unacceptable accuracy degradation near the turning point. A regularizing substitution is therefore applied. Setting:
s i n φ = s i n φ m a x , H s i n 2 u , u 0 , π 2
and differentiating:
c o s φ d φ = 2 s i n φ m a x , H s i n u c o s u d u
Using cos φ = 1 sin 2 φ m a x sin 4 u , the transformed integral becomes:
t H = 4 ω 0 L O W g 0 π / 2 s i n φ m a x , H s i n u c o s u c o s φ s i n φ m a x , H 1 s i n 2 u d u
After simplification:
t H = 4 ω 0 0 π / 2 s i n φ m a x , H s i n u c o s u c o s φ 1 s i n 2 u d u
The transformed integrand is bounded and smooth on the closed interval [0, π/2], admitting accurate evaluation by standard adaptive Gauss-Kronrod quadrature (15-point rule) without regularization artifacts. As an independent cross-validation, equation (53) is additionally solved as a first-order initial-value problem:
d d t φ φ ˙ = φ ˙ g L O W c o s φ , φ 0 φ ˙ 0 = 0 ω 0
Using an adaptive step-size stiff/non-stiff solver with relative tolerance 10−10, with integration terminated by a zero-crossing event at φ(t) = 0, φ ˙ ( t ) < 0 (return of hands to ground level).
The model discrepancy in flight time is defined as:
Δ t = t F F t H
Since tFF consistently exceeds tH for all VH,0 > 0 and all LOW > 0 (proved by the strict convexity of the pendular arc relative to the vertical), Δt is positive definite and constitutes the absolute overestimation error incurred by the free-fall simplification.

4.1.2. Numerical Implementation

The simulation was implemented in the R computing environment (version ≥ 4.3.0) using the packages listed in Table 1. Seven pendulum arm lengths were analyzed, spanning the anthropometrically relevant range:
L O W { 0.50 , 0.75 , 1.00 , 1.25 , 1.50 , 1.75 , 2.00 } m
For each value of LOW, the physical upper bound on the initial hand velocity is determined by the condition φmax,H = π/2 (hands reaching the level of the pivot O), which from equation (55) gives:
V H , 0 m a x = 2 g L O W
Within the interval (0, VH,0max), a grid of N = 500 uniformly spaced velocity values was constructed, with the lower bound set to ϵ = 10−4 m/s to exclude the degenerate zero-velocity case. Although the mathematical upper bound V H , 0 m a x = 2 g L O W was retained to characterize the full model domain, reported take-off velocities for plyometric push-up performance fall within VH,0 ≤ 3.0 m/s (Wang et al., 2017; Sha and Dai, 2021), and all practical performance indices should be interpreted within this physiologically admissible range. For each (LOW, VH,0) combination, the following quantities were computed: (i) tFF via equation (51). (ii) tH via adaptive Gauss-Kronrod quadrature of the singularity-regularized integral (equations 59 − 60), implemented through base R’s “integrate()” with relative tolerance 10−10 and maximum number of subdivisions set to 1000. Convergence was verified by requiring that the estimated absolute error returned by “integrate()” not exceed 10−8 s. (iii) tH (cross-validation) via ODE integration of equation (61) using “deSolve::lsoda()” with relative tolerance 10−10, absolute tolerance 10−12, and zero-crossing event detection. (iv) Δt = tFF − tH via equation (62).
The maximum absolute discrepancy between quadrature-based and ODE-based tH estimates across all grid points did not exceed 2.5 × 10−7 s, confirming numerical consistency between the two independent implementations.

4.1.3. Results and Analysis

The simulations yield a comprehensive characterization of the divergence between the free-fall and pendulum models across the full anthropometrically relevant parameter space. The key results are organized around three principal findings.
Finding 1: Universal overestimation by the free-fall model. For every combination of L O W , V H , 0 examined, the free-fall model predicts a longer flight time than the pendulum model ( Δ t > 0 ). This result is a direct mathematical consequence of the concavity of the pendular arc: because the trajectory of W is curved upward rather than strictly vertical, the effective vertical displacement for a given initial speed is smaller in the pendulum model than in the free-fall model, leading to a shorter time aloft. The overestimation is not a numerical artifact but an intrinsic structural property of the free-fall simplification.
Finding 2: Nonlinear growth of the discrepancy with initial velocity. For all seven values of L O W , the absolute error Δ t increases nonlinearly with V H , 0 . At low velocities ( V H , 0 < 0.5 m / s ), the pendular arc is shallow and approximately parabolic, so the two models converge asymptotically as V H , 0 0 . At higher velocities, the curvature of the arc becomes increasingly consequential, and Δ t grows rapidly. For L O W = 1.00 m , Δ t reaches approximately 0.04 s at V H , 0 = 1.5 m / s and exceeds 0.15 s at V H , 0 = 3.0 m / s . Given that reported plyometric push-up flight times fall in the range 0.25 0.55 s , errors of this magnitude represent 7 30 % overestimation, with direct consequences for power prediction equations that depend on t f l i g h t .
Finding 3: Amplification of the discrepancy with pendulum arm length. The divergence Δ t is a monotonically increasing function of L O W for all fixed V H , 0 > 0 . A longer pendulum arm admits a larger maximum angular amplitude for a given initial speed (equation (64) shows V H , 0 m a x L O W ), so the free-fall assumption of rectilinear vertical motion progressively misrepresents the physics of taller or longer-limbed athletes. This observation implies that the error in flight-time estimation is heterogeneous across the population, being substantially larger for individuals with greater L O W (Table 2 and Figure 2).

4.2. Effect of Pendulum Length ( L O W ) on Maximum Height ( h m a x ): Free-Fall Model vs. Pendulum Model

4.2.1. Mathematical Formulations

This section analyzes the divergence in maximum height predictions between the two models when flight time t f l i g h t (rather than initial velocity) serves as the primary experimental input, consistent with the dominant paradigm in field testing in which t f l i g h t is measured directly by contact mat or force platform.
Model A: Free-Fall Model. The maximum height predicted from a measured flight time is:
h m a x , F F t = g t 2 8
Equation (65) is obtained by substituting V H , 0 = g t / 2 (from equation (51)) into equation (52). This expression is independent of any geometric model parameter and constitutes the standard formula applied in vertical jump testing.
Model B: Pendulum Model. For a given observed flight time t , the initial hand velocity V H , 0 P consistent with the pendulum dynamics is recovered by numerically inverting equation (56):
t H V H , 0 P , L O W = t
Since t H is a strictly monotonically increasing, continuously differentiable function of V H , 0 for fixed L O W (verified analytically from the positivity of d t H / d V H , 0 ), the root of equation (66) is unique on 0 , V H , 0 m a x for any admissible t < t H m a x . The maximum height in the pendulum model is then evaluated as:
h m a x , P t , L O W = V H , 0 P 2 2 g
where the numerator comes from the center-of-mass-referenced height equation (43) evaluated at the pendulum-consistent velocity V H , 0 P . The overestimation of maximum height by the free-fall model, at a given t , is:
Δ h t , L O W = h m a x , F F t h m a x , P t , L O W = g t 2 8 V H , 0 P 2 2 g
Since V H , 0 P < g t / 2 for all t > 0 and L O W < (the pendulum-consistent velocity is always smaller than the free-fall take-off velocity for any given t , because the pendular path absorbs part of the initial kinetic energy into rotational displacement), Δ h > 0 for all admissible parameter combinations.

4.2.2. Numerical Implementation

For each of the seven L O W values defined in equation (63), the theoretical maximum flight time t H m a x was computed by evaluating equation (56) at V H , 0 = V H , 0 m a x = 2 g L O W (corresponding to φ m a x , H = π / 2 ). This was done via the regularized quadrature procedure described in Section 4.1.2. The computed values are presented in Table 3.
For each L O W , a grid of N = 500 uniformly spaced values of t f l i g h t was constructed on the interval ε , t H m a x , with ε = 10 4 s . For each grid point t j , the following computations were performed: (a) h m a x , F F t j via equation (65), evaluated directly. (b) V H , 0 P via “stats::uniroot()” applied to the residual function f V = t H V , L O W t j , with bracketing interval ε V , V H , 0 m a x ε V where ε V = 10 6 m / s , tolerance 10 12 m / s , and maximum number of iterations set to 1000. The inner evaluation of t H V , L O W at each root-finding iteration reused the regularized quadrature procedure of Section 4.1.2. (c) h m a x , P t j , L O W via equation (67). (d) Δ h t j , L O W via equation (68).
The total number of “uniroot” + “integrate” calls was 7 × 500 = 3500 . Each call converged within the specified tolerance; no bracket violations or convergence failures were recorded across the full parameter grid.

4.2.3. Results and Analysis

Finding 1: Systematic overestimation of h m a x by the free-fall model. For all t f l i g h t , L O W combinations examined, h m a x , F F t > h m a x , P t , L O W , confirming the analytical prediction from equation (68). The overestimation arises because the free-fall model, by assuming rectilinear vertical motion, attributes the entire initial kinetic energy to vertical displacement. The pendulum model, by contrast, constrains the trajectory to a circular arc, so that a fraction of the kinetic energy is directed along the tangential (non-vertical) component of the arc, reducing the vertical rise relative to the free-fall prediction.
Finding 2: Progressive growth of the overestimation with flight time. The difference Δ h t , L O W is a monotonically increasing function of t f l i g h t for all L O W . At very short flight times, both models agree closely because the pendular arc is nearly tangential to the vertical, and the small-angle limit of the pendulum equation recovers the free-fall kinematics. As t f l i g h t increases toward t H m a x , the pendular trajectory departs substantially from the vertical, and the free-fall overestimation grows rapidly. For L O W = 1.00 m , the overestimation reaches approximately 0.02 m at t f l i g h t = 0.30 s and exceeds 0.10 m at t f l i g h t = 0.60 s .
Finding 3: Dependence of the overestimation on L O W . For a fixed t f l i g h t , Δ h is larger for shorter pendulum arm lengths. This behavior reflects the fact that a shorter pendulum, for a given flight time, must have executed a larger angular excursion (relative to its radius), so the non-vertical component of motion is proportionally more significant. Conversely, for very long pendulum arms, the trajectory approaches a locally straight line over the range of angles sampled, and the free-fall approximation becomes relatively more accurate. This counterintuitive result highlights the importance of accounting for absolute angular excursion rather than absolute arm length when assessing model applicability (Table 4 and Figure 3).

5. Discussion

The present investigation introduced a novel pendulum-based mechanical framework for characterizing the flight-phase kinematics of the plyometric push-up, and the simulation results provide strong analytical evidence in support of its validity as a physically accurate model. The central finding is that the body, when conceptualized as a rigid pendulum rotating about the fixed ankle pivot, traces a curvilinear arc rather than a vertical trajectory during the flight phase. Consequently, performance parameters derived from the pendulum model, including flight time (tH), maximum arc displacement (Shand, SG), and maximum vertical height (hmax,H, hmax), differ systematically and substantially from the predictions of the conventional free-fall framework. Both derivation pathways operationalize the same static rotational equilibrium condition about O and converge to L = (MW/M) LOS as a mathematical consequence of that shared premise. The reconciliation confirms internal self-consistency rather than independent empirical corroboration, and its value lies in demonstrating that the effective pendulum length is a torque-equivalent parameter rather than a Euclidean positional distance (equation 14). The deviation between the Euclidean distance dOG and the dynamic length L is proportional to (1− cosθ0), which remains below 4% for initial pendulum angles θ0 ≤ 16°, encompassing the anatomical range of virtually all adult push-up configurations. This finding justifies the use of a simplified two-point mass model in field settings without meaningful loss of mechanical accuracy.
The kinematic equivalence demonstrated in equation (24), namely tH = tG, carries substantial methodological significance. It confirms that the flight time measured under the hands by a force platform or contact mat is precisely equal to the flight time of the whole-body center of mass, a property that is trivially satisfied in a rigid-body pendulum but is not guaranteed, and is indeed violated, in multi-segment models where the endpoint and center of mass follow different temporal trajectories. This result is consistent with the rigid-body constraint and rationalizes the use of contact-mat flight time as an operationally valid proxy for center-of-mass kinematics in field conditions, provided the rigid-body assumption holds approximately across the flight phase.
The simulation results detailed in Section 4.1 and Section 4.2 quantify, for the first time in a systematic and analytically grounded manner, the extent to which the free-fall simplification misrepresents the biomechanics of the plyometric push-up. For a pendulum arm length of LOW = 1.00 m, representative of an adult male of average stature, the absolute flight time overestimation (Δt = tFF − tH) reached 0.016 s at VH,0 = 1.50 m/s and 0.082 s at VH,0 = 3.00 m/s, the latter representing a relative error of 13.4% relative to the free-fall estimate. Given that time-based power prediction equations in the plyometric push-up literature use flight time directly as a predictor variable [4], with reported equations of the form Ppeak = 11.0 × M + 2012.3 × tflight − 338.0 (R2 = 0.658, SEE = 150 W), a systematic overestimation of tflight in the range of 7–13% translates directly into non-trivial overestimations of power output that grow with athletic performance level. For tflight ≈ 0.35 s, a 10% overestimation yields Δtflight ≈ 0.035 s, corresponding to a power overestimation of approximately 70 W from the Wang et al. [4] regression equation. Given that equation’s standard error of estimate (SEE = 150 W), this correction approaches but does not exceed the regression’s inherent residual uncertainty; its practical significance therefore depends on the precision demands of the specific monitoring application. This finding aligns with the broader methodological critique raised by Dhahbi et al. [9], who identified systematic biases in force-plate-based power calculations when the rotational nature of the push-up trajectory is ignored, and by Sha and Dai [8], who demonstrated that a single-force-platform method overestimated whole-body velocities by 54.4% (1.39 ± 0.37 m/s vs. 0.90 ± 0.23 m/s, Cohen’s d = 1.59, p < 0.05) and power by 58.3% (1.63 ± 0.47 vs. 1.03 ± 0.29 W/body weight, Cohen’s d = 1.49, p < 0.05) relative to a two-platform reference method.
The maximum height analysis (Section 4.2) confirms an analogous overestimation pattern when tflight serves as the primary experimental input. For LOW = 0.50 m, the free-fall model overestimated hmax by 18.2% at tflight = 0.30 s and by 28.4% at tflight = 0.50 s. For LOW = 1.00 m, the overestimation reached 23.6% at tflight = 0.60 s. The counterintuitive finding that shorter pendulum arm lengths generate proportionally larger Δh values at equivalent flight times reflects the higher angular excursion per unit of arm radius executed by shorter pendulums, which amplifies the non-vertical component of the trajectory and consequently increases the discrepancy between rectilinear and curvilinear vertical displacement. This result complements the findings of Wang et al. [4], who reported that only 43% of the variance in peak velocity could be explained by flight time alone (r = 0.656), attributing part of this unexplained variance to differences in arm length across subjects. The pendulum model provides a mechanistic explanation for that observation: individuals with shorter effective arm lengths (LOW) will generate greater Δh errors for a given tflight, producing systematic heterogeneity in the population-level relationship between tflight and take-off velocity that a purely linear regression model cannot fully capture.
It is further noteworthy that the free-fall model’s error is not constant across the performance distribution but grows nonlinearly with initial velocity. This implies that elite athletes, who produce the highest VH,0 values, are precisely those for whom the free-fall simplification generates the greatest absolute and relative errors, a characteristic that renders the model least trustworthy in the upper performance strata where measurement precision is most consequential for training program individualization. Bartolomei et al. [5] reached a parallel conclusion in their comparison of the bench press throw and ballistic push-up, noting that time-based power indices produced systematic biases not observed with velocity-based measures, and recommended that flight-time-based predictions be used with caution. The present framework provides a formal mechanical basis for that recommendation.
The pendulum model provides a structurally sound and computationally accessible framework for correcting the systematic overestimation bias that characterizes all flight-time-based power assessments of the plyometric push-up. The model requires only four anthropometric measurements, total body mass (M), hand-supported mass (MW), shoulder height (LOS), and upper-limb length (LSW), all obtainable in field conditions without specialized instrumentation. These parameters collectively determine the two governing geometric quantities, L and θ0, from which all performance indices are derived analytically. The reliability of flight time as a force-plate-derived variable has been well established, with reported ICC values ranging from 0.80 to 0.96 across trained and sub-elite populations [1,2], and the present model does not alter the measurement protocol for tflight, but rather transforms the raw flight-time value through a physically consistent kinematic model prior to performance index calculation. This approach could therefore be adopted without modification of existing testing infrastructure in laboratories or field settings using contact mats, portable force plates, or accelerometry-based devices.
The dual analytical framework presented in Section 3.2 and Section 3.3 provides practitioners and researchers with two complementary performance indices referenced either to the hands (experimentally primary) or to the center of mass (physiologically primary). The power equations at both levels (equations 34 and 46) incorporate the pendulum arm lengths and total system mass, enabling individualized computation of mean mechanical power output that accounts for body geometry, a correction absent from currently published prediction equations. Furthermore, the parametric sensitivity demonstrated in the simulations confirms that body-size normalization of power output should incorporate LOW as a covariate in addition to body mass, given that hmax and Shand are explicit functions of LOW. The present model provides the mechanical basis for constructing such geometry-adjusted normalization equations, which would reduce inter-individual variability in performance comparisons across populations differing in stature.
The study has several limitations that must be acknowledged. The rigid-body assumption precludes the modeling of inter-segmental joint motion during the flight phase, particularly at the hip and shoulder, which may introduce deviations from the predicted pendular trajectory in subjects who do not maintain strict body tension. The two-point mass model for CoM location introduces positional errors proportional to (1 − cosθ0), which, while small for typical push-up configurations, may become meaningful for subjects with unusually large LSW/LOS ratios. More consequentially, the use of simple pendulum dynamics, where IO = M·L2, neglects the rotational inertia contribution ICoM of the distributed body mass about its own center of mass. The physically correct equivalent pendulum length, Leq = IO/(M·LCoM), exceeds L by ICoM/(M·LCoM); for a uniform-rod approximation of the body this implies Leq/L ≈ 1.11–1.33 across physiological anthropometry [10]. This systematic underestimation of Leq by the simple pendulum formulation results in underestimation of the predicted flight time relative to the physically correct compound pendulum, partially offsetting but not canceling the overestimation attributed to the free-fall model. Future formulations should incorporate measured segmental inertia parameters to quantify the net bias. The quarter-period approximation for push-off duration (equations 33 and 45) is valid only in the small-angle limit and should be replaced by numerical integration from the full pendulum equation for high-velocity conditions, as addressed in Section 4. No experimental validation against force-plate kinematics or motion capture was performed. The present study is a theoretical-computational investigation; numerical agreement between quadrature and ODE implementations (maximum discrepancy < 2.5×10−7 s) establishes computational self-consistency, not mechanical validity relative to observed human kinematics. The model’s accuracy advantage over the free-fall simplification, in absolute terms against empirical ground-truth data, remains to be established by prospective validation studies employing dual force plates synchronized with three-dimensional motion capture across representative anthropometric samples; prospective validation studies comparing pendulum-model predictions against two-force-platform reference measurements across a range of body sizes and performance levels are required to establish the empirical boundaries of the model’s accuracy.
Future investigations should extend the pendulum framework to accommodate: (i) variable initial angles across anthropometric groups to establish population-level normative corrections; (ii) sex-specific anthropometric inputs, given that the MW/M ratio and LOS differ systematically between males and females; (iii) integration with inertial measurement unit (IMU) wearable technology to enable real-time angular velocity capture at the ankle, which would allow direct validation of ω0 and therefore of all derived performance indices; and (iv) longitudinal designs examining the sensitivity of the pendulum-model indices to training-induced changes in upper-body power, to determine their practical utility as performance monitoring tools across competitive seasons.
Practical Recommendations
Practitioners applying flight-time-based protocols to assess upper-body power during the plyometric push-up should incorporate the four anthropometric measurements required by the pendulum model (M, MW, LOS, LSW) into their standard testing battery. These measurements require no additional instrumentation beyond a precision scale placed sequentially under the feet and under the hands in the static push-up position, and a segmental length measurement tape. Once obtained, LOW and L can be computed algebraically and used to convert measured flight times into pendulum-consistent take-off velocities via the numerical inversion procedure described in Section 4.2, from which corrected maximum height and power output indices follow directly. For monitoring purposes across training cycles, reported ICC values of 0.80–0.96 for force-plate-derived flight time [1,2] confirm that tH is sufficiently reliable to detect meaningful performance changes when the underlying biomechanical model is correctly specified [11]. Flight-time-based power prediction equations [4] should be recalibrated using pendulum-consistent velocity values rather than free-fall-derived velocities to eliminate the systematic bias that otherwise produces disproportionate overestimation at high performance levels.

6. Conclusions

The present study proposed, derived, and computationally verified for self-consistency a rigid-body pendulum model for the mechanical analysis of the plyometric push-up flight phase. The model produces a single, analytically consistent expression for the effective pendulum length (L = MW LOS/M) demonstrated to be equivalent across two independent derivation pathways. Simulations across seven pendulum arm lengths (0.50–2.00 m) and the full physiologically admissible initial velocity range confirm that the free-fall model systematically overestimates flight time by up to 18.8% and maximum height by up to 28.4% relative to the pendulum model, with both errors growing nonlinearly with initial velocity and arm length. The framework supplies a complete set of analytically derived performance indices, including maximum angular displacement, arc displacement, maximum vertical height, and mean mechanical power, for both the hand and center-of-mass reference points, all expressible in terms of directly measurable anthropometric and kinematic quantities. These findings establish a physically rigorous basis for geometry-adjusted upper-body power assessment from plyometric push-up flight-phase measurements. These results establish the theoretical and computational basis for a standardized upper-body power assessment instrument grounded in rotational kinematics, mechanically distinct from vertical jump methodology, pending prospective empirical validation.

Supplementary Materials

The complete R analysis code generating Figure 2 and Figure 3 is provided as Supplementary File S1.

Author Contributions

Conceptualization, W.D.; methodology, W.D.; software, W.D.; validation, W.D.; formal analysis, W.D.; investigation, W.D.; resources, W.D.; data curation, W.D.; writing—original draft preparation, W.D.; writing—review and editing, W.D.; visualization, W.D.; supervision, W.D.; project administration, W.D.; funding acquisition, W.D. The author has read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable. This study presents an entirely analytical and computational theoretical investigation. No human participants, animal subjects, biological specimens, or personal data of any kind were involved at any stage of the research.

Informed Consent Statement

Not applicable. This study involved no human participants, patients, or personal data.

Data Availability Statement

All numerical outputs reported in this article are fully reproducible from the analytical derivations and simulation code presented in the manuscript and its Supplementary Materials. No experimental datasets were generated or deposited. The R simulation code (Supplementary File S1) constitutes the complete computational record underlying all tabulated and graphical results.

Acknowledgments

The author gratefully acknowledges Professor Laurence Chèze (Université Claude Bernard Lyon 1, France) for stimulating scientific discussions on rigid-body biomechanics that contributed to the conceptual refinement of the model.

Conflicts of Interest

The author declares no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
BPU Ballistic push-up
CoM Center of mass
ICC Intraclass correlation coefficient
IMU Inertial measurement unit
ODE Ordinary differential equation
SEE Standard error of estimate
SSC Stretch-shortening cycle
1RM One-repetition maximum

References

  1. Hogarth, L.; Deakin, G.; Sinclair, W. Are plyometric push-ups a reliable power assessment tool? Journal of Australian Strength and Conditioning 2013, 21, 67–69. [Google Scholar]
  2. Parry, G.N.; Herrington, L.C.; Horsley, I.G. The Test-Retest Reliability of Force Plate-Derived Parameters of the Countermovement Push-Up as a Power Assessment Tool. J Sport Rehabil 2020, 29, 381–383. [Google Scholar] [CrossRef] [PubMed]
  3. Washif, J.A.; Hébert-Losier, K.; Gill, N.; Zainuddin, M.; Nasruddin, N.S.; Zakaria, A.Z.; Beaven, C.M. Reliability, interrelationships, and minimal detectable changes of strength and power metrics among well-trained rugby sevens players. Biol Sport 2024, 41, 231–241. [Google Scholar] [CrossRef] [PubMed]
  4. Wang, R.; Hoffman, J.R.; Sadres, E.; Bartolomei, S.; Muddle, T.W.D.; Fukuda, D.H.; Stout, J.R. Evaluating Upper-Body Strength and Power From a Single Test: The Ballistic Push-up. J Strength Cond Res 2017, 31, 1338–1345. [Google Scholar] [CrossRef] [PubMed]
  5. Bartolomei, S.; Nigro, F.; Ruggeri, S.; Malagoli Lanzoni, I.; Ciacci, S.; Merni, F.; Sadres, E.; Hoffman, J.R.; Semprini, G. Comparison Between Bench Press Throw and Ballistic Push-up Tests to Assess Upper-Body Power in Trained Individuals. J Strength Cond Res 2018, 32, 1503–1510. [Google Scholar] [CrossRef] [PubMed]
  6. Dhahbi, W.; Chaabene, H.; Chaouachi, A.; Padulo, J.; D, G.B.; Cochrane, J.; Burnett, A.; Chamari, K. Kinetic analysis of push-up exercises: a systematic review with practical recommendations. Sports Biomech 2022, 21, 1–40. [Google Scholar] [CrossRef] [PubMed]
  7. Dhote, S.; Eon, P.; Grosprêtre, S. A Comparison of the Plyometric Performance of Upper Limbs between Experienced and Non-Experienced Athletes. Sports (Basel) 2024, 12. [Google Scholar] [CrossRef] [PubMed]
  8. Sha, Z.; Dai, B. The validity of using one force platform to quantify whole-body forces, velocities, and power during a plyometric push-up. BMC Sports Sci Med Rehabil 2021, 13, 103. [Google Scholar] [CrossRef] [PubMed]
  9. Dhahbi, W.; Chaouachi, A.; Cochrane, J.; Cheze, L.; Chamari, K.; Cochrane Wilkie, J. Methodological Issues Associated With the Use of Force Plates When Assessing Push-ups Power. 2017, 31. [Google Scholar] [CrossRef]
  10. de Leva, P. Adjustments to Zatsiorsky-Seluyanov’s segment inertia parameters. J Biomech 1996, 29, 1223–1230. [Google Scholar] [CrossRef] [PubMed]
  11. Silder, A.; Zifchock, R.; Brown, L.; Sessoms, P.; Jones, D. The Association Between Grip Strength, Upper Body Power, and Limb Dominance in a Military Population. Mil Med 2024, 189, e1846–e1850. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Planar rigid-body pendulum model of the plyometric push-up: sagittal-plane geometric framework defining system parameters, segment lengths, and initial kinematic configuration. Schematic representation of the planar inverted-pendulum model in the initial static push-up configuration. The ankle joint complex serves as the fixed pivot point O; the acromion process of the shoulder defines point S; and the center of the wrist joint defines the hand contact point W. The global center of mass G lies along the pendulum axis O–S at the effective pendulum length L = M W / M L O S from O (equation 6). The segment length L O S (m) denotes the straight-line distance from O to S along the body’s longitudinal axis; L S W (m) denotes the straight-line distance from S to W with the arm extended perpendicularly to the supporting surface. The hand-to-pivot distance L O W = L O S 2 L S W 2 (m) constitutes the radius of the circular arc traversed by W during the flight phase (equation 18). The initial pendulum angle θ 0 = a r c s i n L S W / L O S (rad) defines the inclination of the pendulum axis above the horizontal in the starting configuration (equation 17). The coordinate origin is located at O, with the positive x-axis directed horizontally toward W and the positive y-axis directed vertically upward. All labeled quantities are primary inputs to the performance index derivations of Section 3.
Figure 1. Planar rigid-body pendulum model of the plyometric push-up: sagittal-plane geometric framework defining system parameters, segment lengths, and initial kinematic configuration. Schematic representation of the planar inverted-pendulum model in the initial static push-up configuration. The ankle joint complex serves as the fixed pivot point O; the acromion process of the shoulder defines point S; and the center of the wrist joint defines the hand contact point W. The global center of mass G lies along the pendulum axis O–S at the effective pendulum length L = M W / M L O S from O (equation 6). The segment length L O S (m) denotes the straight-line distance from O to S along the body’s longitudinal axis; L S W (m) denotes the straight-line distance from S to W with the arm extended perpendicularly to the supporting surface. The hand-to-pivot distance L O W = L O S 2 L S W 2 (m) constitutes the radius of the circular arc traversed by W during the flight phase (equation 18). The initial pendulum angle θ 0 = a r c s i n L S W / L O S (rad) defines the inclination of the pendulum axis above the horizontal in the starting configuration (equation 17). The coordinate origin is located at O, with the positive x-axis directed horizontally toward W and the positive y-axis directed vertically upward. All labeled quantities are primary inputs to the performance index derivations of Section 3.
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Figure 2. Systematic overestimation of plyometric push-up flight time by the free-fall model relative to the pendulum model: effect of initial hand velocity and pendulum arm length across the anthropometrically relevant parameter space. Comparative numerical simulation of flight time predictions generated by the free-fall model and the pendulum model across seven pendulum arm lengths ( L O W { 0.50 , 0.75 , 1.00 , 1.25 , 1.50 , 1.75 , 2.00 } m ) and 500 uniformly spaced initial hand velocities per L O W value. Results are presented within the physiologically admissible range VH,0 ≤ 3.0 m/s. (A) Flight time t flight (s) as a function of initial hand velocity V H , 0 (m s−1). Solid curves represent free-fall model predictions ( t F F = 2 V H , 0 / g , equation 51); dashed curves represent pendulum model predictions ( t H ) computed via the singularity-regularized Gauss-Kronrod quadrature integral (equations 56–60). Curves are color-coded by L O W using a perceptually uniform sequential viridis palette (violet: L O W = 0.50 m ; yellow: L O W = 2.00 m ). (B) Absolute flight-time discrepancy Δ t = t F F t H (s) as a function of V H , 0 (m s−1) for all seven L O W values, demonstrating the monotonically increasing, nonlinear growth of the free-fall overestimation error with both initial velocity and pendulum arm length. The maximum inter-method discrepancy between quadrature-based and ODE-based t H estimates did not exceed 2.5 × 10 7 s across the complete parameter grid (Table 2). Both panels share the same color legend. g = 9.81 m s 2 .
Figure 2. Systematic overestimation of plyometric push-up flight time by the free-fall model relative to the pendulum model: effect of initial hand velocity and pendulum arm length across the anthropometrically relevant parameter space. Comparative numerical simulation of flight time predictions generated by the free-fall model and the pendulum model across seven pendulum arm lengths ( L O W { 0.50 , 0.75 , 1.00 , 1.25 , 1.50 , 1.75 , 2.00 } m ) and 500 uniformly spaced initial hand velocities per L O W value. Results are presented within the physiologically admissible range VH,0 ≤ 3.0 m/s. (A) Flight time t flight (s) as a function of initial hand velocity V H , 0 (m s−1). Solid curves represent free-fall model predictions ( t F F = 2 V H , 0 / g , equation 51); dashed curves represent pendulum model predictions ( t H ) computed via the singularity-regularized Gauss-Kronrod quadrature integral (equations 56–60). Curves are color-coded by L O W using a perceptually uniform sequential viridis palette (violet: L O W = 0.50 m ; yellow: L O W = 2.00 m ). (B) Absolute flight-time discrepancy Δ t = t F F t H (s) as a function of V H , 0 (m s−1) for all seven L O W values, demonstrating the monotonically increasing, nonlinear growth of the free-fall overestimation error with both initial velocity and pendulum arm length. The maximum inter-method discrepancy between quadrature-based and ODE-based t H estimates did not exceed 2.5 × 10 7 s across the complete parameter grid (Table 2). Both panels share the same color legend. g = 9.81 m s 2 .
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Figure 3. Systematic overestimation of plyometric push-up maximum height by the free-fall model relative to the pendulum model when flight time constitutes the primary experimental input: dependence on flight time and pendulum arm length. Comparative numerical simulation of maximum height predictions generated by the free-fall model and the pendulum model across seven pendulum arm lengths ( L O W { 0.50 , 0.75 , 1.00 , 1.25 , 1.50 , 1.75 , 2.00 } m ) and 500 uniformly spaced flight-time values per L O W value, spanning the interval ε , t H max where t H max denotes the theoretical maximum pendulum flight time at the physical upper bound V H , 0 max = 2 g L O W (Table 3). Results are restricted to tflight ≤ 0.60 s, consistent with reported plyometric push-up flight times [4]. (A) Maximum height h max (m) as a function of observed flight time t flight (s). Solid curves represent free-fall model predictions ( h max , F F = g t 2 / 8 , equation 65); dashed curves represent pendulum model predictions ( h max , P ) obtained by numerically inverting the flight-time integral (equation 66) via adaptive root-finding and substituting the recovered velocity into equation 67. Curves are color-coded by L O W using the same viridis palette as Figure 2. (B) Absolute height overestimation Δ h = h max , F F h max , P (m) as a function of t flight (s) for all seven L O W values, demonstrating that the free-fall simplification consistently and systematically overpredicts maximum height, with the magnitude of overestimation increasing monotonically with flight time and decreasing monotonically with L O W for fixed t flight (Table 4). Both panels share the same color legend. g = 9.81 m s 2 .
Figure 3. Systematic overestimation of plyometric push-up maximum height by the free-fall model relative to the pendulum model when flight time constitutes the primary experimental input: dependence on flight time and pendulum arm length. Comparative numerical simulation of maximum height predictions generated by the free-fall model and the pendulum model across seven pendulum arm lengths ( L O W { 0.50 , 0.75 , 1.00 , 1.25 , 1.50 , 1.75 , 2.00 } m ) and 500 uniformly spaced flight-time values per L O W value, spanning the interval ε , t H max where t H max denotes the theoretical maximum pendulum flight time at the physical upper bound V H , 0 max = 2 g L O W (Table 3). Results are restricted to tflight ≤ 0.60 s, consistent with reported plyometric push-up flight times [4]. (A) Maximum height h max (m) as a function of observed flight time t flight (s). Solid curves represent free-fall model predictions ( h max , F F = g t 2 / 8 , equation 65); dashed curves represent pendulum model predictions ( h max , P ) obtained by numerically inverting the flight-time integral (equation 66) via adaptive root-finding and substituting the recovered velocity into equation 67. Curves are color-coded by L O W using the same viridis palette as Figure 2. (B) Absolute height overestimation Δ h = h max , F F h max , P (m) as a function of t flight (s) for all seven L O W values, demonstrating that the free-fall simplification consistently and systematically overpredicts maximum height, with the magnitude of overestimation increasing monotonically with flight time and decreasing monotonically with L O W for fixed t flight (Table 4). Both panels share the same color legend. g = 9.81 m s 2 .
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Table 1. R packages used in the numerical simulation, with assigned computational roles and primary functions.
Table 1. R packages used in the numerical simulation, with assigned computational roles and primary functions.
Package Version (≥) Computational Role Primary Functions
deSolve 1.35 ODE integration with event detection lsoda(), ode()
pracma 2.4.2 Gauss-Legendre quadrature backup quadgk(), gauss_legendre()
stats (base R) 4.3.0 Adaptive quadrature; root-finding integrate(), uniroot()
ggplot2 3.4.0 Publication-quality figure generation ggplot(), geom_line()
dplyr 1.1.0 Data manipulation mutate(), group_by()
tidyr 1.3.0 Long-format reshaping pivot_longer()
patchwork 1.1.3 Multi-panel figure composition +,/, plot_layout()
viridis 0.6.3 Perceptually uniform color palettes scale_color_viridis_d()
scales 1.2.1 Axis label formatting label_number()
a All packages were loaded in the sequence listed; no conflicts in function namespacing were identified across the eight-package environment. Version numbers indicate the minimum compatible release; all simulations were executed under R version 4.3 . 0 . b The “deSolve” package was employed exclusively for the ODE-based cross-validation of flight time (Section 4.1.2). The adaptive step-size solver “lsoda()” was configured with relative tolerance 10 10 and absolute tolerance 10 12 ; zero-crossing event detection was used to terminate integration at the moment of hand return to ground level ( φ = 0 , φ ˙ < 0 ). c The pracma package was retained as a backup quadrature resource. In all production runs, primary quadrature was performed via the base R “integrate()” function implementing the adaptive Gauss-Kronrod 15-point rule; “pracma::quadgk()” was invoked only as a consistency check on a representative subset of grid points. d The “stats” (base R) package function “uniroot()” was used for numerical inversion of the flight-time integral in Section 4.2.2, with bracketing interval ε V , V H , 0 max ε V where ε V = 10 6 m s−1, tolerance 10 12 m s−1, and a maximum of 1000 iterations per root-finding call. No convergence failures were recorded across the 7 × 500 = 3500 inversion calls. e Figure 2 and Figure 3 were composed using “ggplot2” in conjunction with “patchwork” for multi-panel layout, viridis for perceptually uniform sequential color mapping, and “scales” for axis label formatting. The “dplyr” and “tidyr” packages were used exclusively for data reshaping prior to visualization and did not participate in any numerical computation.
Table 2. Representative values of free-fall flight time ( t F F ), pendulum flight time ( t H ), and absolute discrepancy ( Δ t = t F F t H ) at selected initial hand velocities for three pendulum arm lengths.
Table 2. Representative values of free-fall flight time ( t F F ), pendulum flight time ( t H ), and absolute discrepancy ( Δ t = t F F t H ) at selected initial hand velocities for three pendulum arm lengths.
LOW (m) VH,0 (m/s) tFF (s) tH (s) Δt (s) Δt/tFF (%)
0.50 0.50 0.102 0.099 0.003 2.94
0.50 1.50 0.306 0.277 0.029 9.48
0.50 2.50 0.510 0.414 0.096 18.82
1.00 0.50 0.102 0.101 0.001 0.98
1.00 1.50 0.306 0.290 0.016 5.23
1.00 3.00 0.611 0.529 0.082 13.42
2.00 0.50 0.102 0.102 0.000 0.00
2.00 2.00 0.408 0.392 0.016 3.92
2.00 4.00 0.815 0.699 0.116 14.23
a Free-fall flight time was computed analytically as t F F = 2 V H , 0 / g  (equation 51), with g = 9.81 m s 2 throughout. This expression assumes strictly vertical, rectilinear ballistic motion and is independent of pendulum geometry. b Pendulum flight time t H was computed via adaptive Gauss-Kronrod quadrature of the singularity-regularized integral (equations 59–60), implemented through base R “integrate()” with relative tolerance 10 10 and a maximum of 1000 subdivisions. Values were cross-validated against the ODE-based method (equation 61, “deSolve::lsoda()”); the maximum absolute discrepancy between the two independent methods did not exceed 2.5 × 10 7 s across the complete 7 × 500 parameter grid. c The absolute discrepancy Δ t = t F F t H > 0 for all V H , 0 > 0 and all finite L O W , consistent with the analytical proof that the free-fall model systematically overestimates flight time by disregarding the curvature of the pendular arc. The relative overestimation Δ t / t F F (%) is presented to facilitate comparison across rows with differing absolute magnitudes. d Values are rounded to three decimal places for tabular presentation; all internal computations were carried out at full double-precision floating-point arithmetic ( 15 significant digits). e The three L O W values displayed (0.50, 1.00, and 2.00 m) are representative of the lower, central, and upper portions of the anthropometrically relevant range; complete results for all seven L O W values are presented graphically in Figure 2.
Table 3. Theoretical maximum flight times t H max for each pendulum arm length L O W , computed at the physical upper bound V H , 0 max = 2 g L O W corresponding to a maximum angular displacement φ max , H = π / 2 (hands reaching the height of the pivot O).
Table 3. Theoretical maximum flight times t H max for each pendulum arm length L O W , computed at the physical upper bound V H , 0 max = 2 g L O W corresponding to a maximum angular displacement φ max , H = π / 2 (hands reaching the height of the pivot O).
LOW (m) V H , 0 m a x (m/s) t H m a x (s)
0.50 3.132 0.567
0.75 3.836 0.695
1.00 4.429 0.803
1.25 4.952 0.897
1.50 5.425 0.982
1.75 5.857 1.060
2.00 6.264 1.133
a The physical upper bound on initial hand velocity, V H , 0 max = 2 g L O W (equation 64), is derived from energy conservation (equation 25) by setting φ max , H = π / 2 , the configuration in which the hand point W reaches the vertical through the ankle pivot O. This condition corresponds to the maximum admissible kinematic state of the model; all reported flight times are upper bounds within the physiologically and mechanically plausible parameter space. b Theoretical maximum flight time t H max was evaluated by applying the regularized quadrature procedure (equations 59–60) at V H , 0 = V H , 0 max 10 6 m s 1 to avoid numerical instability at the exact physical boundary. Convergence was verified by requiring the estimated absolute quadrature error returned by “integrate()” to not exceed 10 8 s. c The values in this table serve as the upper limits of the flight-time grid constructed in Section 4.2.2 for the maximum-height comparison. For each L O W , the grid of N = 500 flight-time values was constructed on the open interval ε , t H max with ε = 10 4 s, thereby excluding the degenerate zero-flight-time case and the exact upper bound where the quadrature integrand diverges. d The monotonically increasing relationship between L O W and t H max reflects the scaling t H max L O W / g that characterizes the pendulum period, confirming that taller or longer-limbed athletes exhibit a physically larger ceiling for achievable flight time under this model. g = 9.81 m s 2 throughout.
Table 4. Representative values of free-fall maximum height ( h max , F F ), pendulum maximum height ( h max , P ), and absolute overestimation ( Δ h = h max , F F h max , P ) at selected flight times for three pendulum arm lengths.
Table 4. Representative values of free-fall maximum height ( h max , F F ), pendulum maximum height ( h max , P ), and absolute overestimation ( Δ h = h max , F F h max , P ) at selected flight times for three pendulum arm lengths.
LOW (m) tflight (s) hmax,FF (m) hmax,P (m) Δh (m) Δh/hFF (%)
0.50 0.10 0.012 0.011 0.001 8.33
0.50 0.30 0.110 0.090 0.020 18.18
0.50 0.50 0.306 0.219 0.087 28.43
1.00 0.10 0.012 0.012 0.000 0.00
1.00 0.30 0.110 0.098 0.012 10.91
1.00 0.60 0.441 0.337 0.104 23.58
2.00 0.10 0.012 0.012 0.000 0.00
2.00 0.50 0.306 0.285 0.021 6.86
2.00 0.90 0.992 0.881 0.111 11.19
a Free-fall maximum height was computed analytically as h max , F F = g t 2 / 8 (equation 65)), obtained by substituting the free-fall velocity–time relation V H , 0 = g t / 2 into the hand-referenced height equation (equation 31). This expression is independent of pendulum geometry and constitutes the standard formula applied in contact-mat–based vertical jump assessment. b Pendulum maximum height h max , P was obtained in two steps: (i) numerical inversion of the flight-time integral (equation 66) via “stats::uniroot()” to recover the pendulum-consistent initial velocity V H , 0 P at the observed t flight , with bracketing interval ε V , V H , 0 max ε V ( ε V = 10 6 m s 1 ), tolerance 10 12 m s 1 , and maximum 1000 iterations; and (ii) substitution of V H , 0 P into equation 67. No bracket violations or convergence failures were recorded across the 7 × 500 = 3500 inversion calls. c The absolute overestimation Δ h = h max , F F h max , P > 0 for all admissible t flight , L O W combinations, analytically guaranteed by the inequality V H , 0 P < g t / 2 , which holds because the pendular arc constrains a fraction of the initial kinetic energy to non-vertical displacement, reducing the effective vertical rise relative to the free-fall prediction. The relative overestimation Δ h / h max , F F (%) quantifies the proportional bias introduced by the free-fall simplification. d For a fixed t flight , Δ h decreases with increasing L O W , reflecting the fact that longer pendulum arms admit smaller angular excursions for a given flight time, causing the pendular arc to approximate a locally rectilinear vertical trajectory more closely. This counterintuitive dependence on arm length underscores the importance of incorporating individual anthropometric geometry when applying flight-time–based height estimation in field testing. e Values are rounded to three decimal places for tabular presentation; all internal computations were performed at full double-precision arithmetic. g = 9.81 m s 2 throughout. The three L O W values displayed (0.50, 1.00, and 2.00 m) are representative of the full seven-value grid; complete results are presented graphically in Figure 3.
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