Li, M.; Deng, J.; Zha, F.; Qiu, S.; Wang, X. Motion Intention Estimation for Active Power-Assist Lower Limb Exoskeleton Robot (APAL). Preprints2018, 2018060149. https://doi.org/10.20944/preprints201806.0149.v1
APA Style
Li, M., Deng, J., Zha, F., Qiu, S., & Wang, X. (2018). Motion Intention Estimation for Active Power-Assist Lower Limb Exoskeleton Robot (APAL). Preprints. https://doi.org/10.20944/preprints201806.0149.v1
Chicago/Turabian Style
Li, M., Shiyin Qiu and Xin Wang. 2018 "Motion Intention Estimation for Active Power-Assist Lower Limb Exoskeleton Robot (APAL)" Preprints. https://doi.org/10.20944/preprints201806.0149.v1
Abstract
The active power-assist function greatly expands the potential applications of exoskeleton robots, yet the motion intention estimation (MIE) for active power-assist strategy is quite problematic. Through the analysis of the conduction path and the different stage manifestations of motion intention in human body, we confirmed that the joint torque of human body meets the basic requirements of MIE for the active power-assist that we suggest, namely: (i) it reflects the direction and intensity of the wearer’s efforts; (ii) it precedes the human limb motion; (iii) it generates real-time and continuous output. Thus, an online calculation method of human joint torque was proposed. The sensing system integrated in exoskeleton robots was designed to perceive motion data and foot contact force of a human body. A special inverse dynamics with a parameterized model of the human body was proposed. Contrast experiments were carried out with the motion capture system, which results’ accuracy and similarity were evaluated via the root mean square error and correlation coefficient. The comparative analysis of two synchronous results shows good accuracy of the proposed MIE method, which lays the foundation for the realization of active power-assist.
Keywords
motion intention estimation; active power-assist; exoskeleton robot; inverse dynamics
Subject
Engineering, Mechanical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
