TY - GEN
T1 - Human Motion Monitoring and Estimation based on Optical Measurement
AU - Yang, Qinke
AU - Li, Chenming
AU - Li, Yuan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Human motion monitoring is an important issue to study ergonomics and analyze the skill effect of human body under various equipment loads. In this paper, the joint angle of human motion is obtained by optical measurement technology, and then the amount of human motion is monitored and estimated. The system records and analyzes the changes of the main joint angles of the human body in walking, running, flexion and extension activities, and obtains the coordinates of bone points of various parts of the human body, and then estimates the amount of human motion using neural network algorithm. The experimental results of human motion monitoring show that the system can track and obtain the information of joint angles and bone points in the process of human motion, and can effectively estimate the amount of human motion.
AB - Human motion monitoring is an important issue to study ergonomics and analyze the skill effect of human body under various equipment loads. In this paper, the joint angle of human motion is obtained by optical measurement technology, and then the amount of human motion is monitored and estimated. The system records and analyzes the changes of the main joint angles of the human body in walking, running, flexion and extension activities, and obtains the coordinates of bone points of various parts of the human body, and then estimates the amount of human motion using neural network algorithm. The experimental results of human motion monitoring show that the system can track and obtain the information of joint angles and bone points in the process of human motion, and can effectively estimate the amount of human motion.
KW - human motion estimation
KW - motion capture
KW - neural network
KW - optical measurement
UR - http://www.scopus.com/inward/record.url?scp=85151133311&partnerID=8YFLogxK
U2 - 10.1109/CAC57257.2022.10054683
DO - 10.1109/CAC57257.2022.10054683
M3 - Conference contribution
AN - SCOPUS:85151133311
T3 - Proceedings - 2022 Chinese Automation Congress, CAC 2022
SP - 6004
EP - 6008
BT - Proceedings - 2022 Chinese Automation Congress, CAC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Chinese Automation Congress, CAC 2022
Y2 - 25 November 2022 through 27 November 2022
ER -
