Assembly Elemental Work Analysis Using Worker Classification by Motion Capture and Machine Learning

抄録

In assembly work, the digitization of body movement skill using motion capture has been progressed to solve issues such as human resource development and skill transfer against declining birthrate and aging population. However, the amount of body movement data obtained from the motion capture is enormous. This study proposes an assembly elemental work analysis using motion capture and machine learning for the movement differences between experienced and inexperienced workers.