The Design and Implementation of Human Motion Capture System Based on CAN Bus

Aiming at the existing problems of exoskeletons in human motion capture and recognition, causing human can only move passively in the exoskeleton, which is difficult to efficiently rebuild the connection between human muscles and nerves. This paper describes a system for the analysis of human motion capture based on CAN bus. The system adopts a distributed system architecture, which can collect data including plantar pressure, exoskeleton joint angle, and provide data support for subsequent motion recognition algorithm. The system has a simple measurement method and low dependence on measurement environment. The accuracy of the system is verified by the contrast experiment of Vicon 3D motion capture system. The results of the experiment indicate that the designed human motion capture system has a high accuracy, and meets the requirements of human motion perception when controlling the Rehabilitation Exoskeleton.