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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More From: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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