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Journal of Robotics
Volume 2017 (2017), Article ID 7862178, 12 pages
Research Article

Networked Multimodal Sensor Control of Powered 2-DOF Wrist and Hand

1Graduate School of Tokyo Denki University, Ishizaka, Hatoyama-machi, Hiki-gun, Saitama 350-0394, Japan
2Tokyo Denki University, Ishizaka, Hatoyama-machi, Hiki-gun, Saitama 350-0394, Japan
3National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8560, Japan

Correspondence should be addressed to Kengo Ohnishi

Received 14 April 2017; Revised 28 July 2017; Accepted 10 August 2017; Published 7 November 2017

Academic Editor: George Mann

Copyright © 2017 Masaki Shibuya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The video shows the Random Angle Test where the clothespin is picked up and placed back on the servomotor driven angle representation device set in random posture. After reading the RFID on the device and triggered by the myoelectric signal, the wrist angle is controlled to match the posture of the device while the forearm is in motion. The posture of the angle representation device is sent to the hand though the network to control the wrist orientation. This reduces the orientation operation and compensation motion of the shoulder and allows the operator to focus on opening and closing of the hand with myoelectric signal in a more natural arm posture. After each angle being presented, the subject grasps and picks up the clothespin attached to the angle representation device.

  1. Supplementary Material