Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Step Forward Understanding Directional Limitations in Markerless Smartphone-based Gait Analysis

Version 1 : Received: 7 March 2024 / Approved: 8 March 2024 / Online: 8 March 2024 (11:04:15 CET)

How to cite: Martiš, P.; Košutzká, Z.; Kranzl, A. A Step Forward Understanding Directional Limitations in Markerless Smartphone-based Gait Analysis. Preprints 2024, 2024030523. https://doi.org/10.20944/preprints202403.0523.v1 Martiš, P.; Košutzká, Z.; Kranzl, A. A Step Forward Understanding Directional Limitations in Markerless Smartphone-based Gait Analysis. Preprints 2024, 2024030523. https://doi.org/10.20944/preprints202403.0523.v1

Abstract

The progress in markerless technologies is bringing clinicians tools to rapidly evaluate tests such as Timed Up and Go (TUG) without compromising the time of the assessment, yet it raises questions about the potential trade-off in accuracy compared to traditional marker-based systems, suggesting that the precision of these evaluations is not yet conclusively established. The OpenCap system is an easy tool to process 3D kinematics with two iPhone cameras placed in front of the subject. Previous research has primarily focused on walking and movement towards the cameras with the subject facing the cameras (WF) and thus has been unable to disentangle the differences in the movement directions. We have compared the OpenCap system with a standard marker-based system for both walking directions. In OpenCap, we found significantly worse results capturing walking facing away from the cameras (RW). Compared to the marker-based system, our findings indicate troubles measuring kinematic parameters but provide good accuracy in measuring spatial-temporal parameters. These insights pave the way for refining markerless assessment technologies, potentially enhancing their utility in clinical settings.

Keywords

OpenCap; Markerless Gait Analysis; Directional Bias in Motion Analysis; Gait kinematics; Smartphone-based Motion Capture; Timed Up and Go (TUG) Test

Subject

Engineering, Bioengineering

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