The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2017
Session ID : 2P2-M07
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Hand Joint Angle Estimation Based on Forearm Deformation Measured with a Distance Sensor Array
Sung-Gwi CHOMasahiro YOSHIKAWAMing DINGJun TAKAMATSUTsukasa OGASAWARA
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Abstract

In this study, we propose a method for hand joint angle estimation based on forearm deformation measured with a distance sensor array. The developed distance sensor array can fit the forearm to measure small deformation, since it was made based on a 3D model of the forearm. We show experimentally that the proposed method can estimate not only the angles of wrist flexion/extension and the hand closing/opening but also pronation/supination from the activity of the deep layer muscles. The error rate is 8.9° or less for each joint angle. The results show that the proposed method is useful for hand joint angle estimation including pronation and supination motion of the forearm.

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© 2017 The Japan Society of Mechanical Engineers
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