Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 4B1-OS-19c-01
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Analysis of one-leg standing balance ability on a slackline using Kinect
*Yuta OGAIKentaro KODAMAHideo YAMAGIWAYasuki SAKANOMasahiko YAMAMOTO
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Abstract

We developed a system that uses Kinect to measure whole-body skeleton data during slackline use for rehabilitation aid. The subjects stood on one leg on the slackline, and we analyzed the variation in the joint positions from the data. The result showed that the behaviors of some subjects who reported that the trial was difficult did not fluctuate too much. On the other hand, some subjects who did not report that the task was difficult showed wobbling behaviors. We think that the dynamical skill used in responding to such an unstable situation is the key to mastering balancing ability.

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© 2018 The Japanese Society for Artificial Intelligence
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