Preprint Article Version 1 This version is not peer-reviewed

Motion Intention Estimation for Active Power-Assist Lower Limb Exoskeleton Robot (APAL)

Version 1 : Received: 8 June 2018 / Approved: 11 June 2018 / Online: 11 June 2018 (10:08:47 CEST)

How to cite: Li, M.; Deng, J.; Zha, F.; Qiu, S.; Wang, X. Motion Intention Estimation for Active Power-Assist Lower Limb Exoskeleton Robot (APAL). Preprints 2018, 2018060149 (doi: 10.20944/preprints201806.0149.v1). Li, M.; Deng, J.; Zha, F.; Qiu, S.; Wang, X. Motion Intention Estimation for Active Power-Assist Lower Limb Exoskeleton Robot (APAL). Preprints 2018, 2018060149 (doi: 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.

Subject Areas

motion intention estimation; active power-assist; exoskeleton robot; inverse dynamics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.