Open AccessResearch on the Formulation of the Motion Angle of Human Lower Limb Joints
Author(s) -
Kaiyuan Wang,
Zongmiao Dai
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1453/1/012131
Subject(s) - exoskeleton , gait , motion (physics) , computer science , matching (statistics) , motion capture , human motion , point (geometry) , process (computing) , gait analysis , artificial intelligence , computer vision , simulation , physical medicine and rehabilitation , mathematics , geometry , medicine , statistics , operating system
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.