Study of classification method for one-leg standing balance on slackline using skeleton information and questionnaire

Abstract

On a slackline, it is necessary to balance on an unstable line, and attention is paid to training the body trunk and posture balance of athletes and rehabilitation subjects. In this study, we developed a system to measure whole-body skeleton data on a slackline using a depth sensor. Using this system, experiment collaborators stood on one foot, and the data were acquired and analyzed. We also took questionnaire about body height and weight, and balance while watching the video, and compared with the data.