Research on the Formulation of the Motion Angle of Human Lower Limb Joints. (January 2020)

• Record Type: Journal Article
• Authors: Wang, Kaiyuan; Dai, Zongmiao
• Is Part Of: Journal of physics. Volume 1453(2020)
• Publication Date: 2020-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1453/1/012131
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In order to make the exoskeleton recognize and predict human gait after walking for a period of time, the control system of the exoskeleton must establish the human gait database in real time. The traditional method is to collect the discrete point data of the angle of each lower limb joint changing over time and then store it in the database. There are two main disadvantages: first, the data volume is too big to store everyone's gait data which is unrealistic; second, it is slow to find the optimal matching of gait process one by one from the database, and it will affect the speed of the gait recognition and prediction, so the exoskeleton is slow to respond. Therefore, it is necessary to find a method dividing human gait data and fitting the function of each piece of data, namely, the formulation of joint motion angle. This paper presents a research on the formulation of the motion angle of human lower limb joints.