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Journal of Sensors
Volume 2017 (2017), Article ID 3980906, 12 pages
https://doi.org/10.1155/2017/3980906
Research Article

An Evaluation of Hand-Force Prediction Using Artificial Neural-Network Regression Models of Surface EMG Signals for Handwear Devices

1Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan
2Department of Electronic and Physical Systems, Waseda University, Tokyo, Japan

Correspondence should be addressed to Masayuki Yokoyama; pj.ca.adesaw.sc.balsi@amayokoy.ikuyasam

Received 27 April 2017; Revised 27 July 2017; Accepted 1 October 2017; Published 25 October 2017

Academic Editor: Ji Zhang

Copyright © 2017 Masayuki Yokoyama 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.

How to Cite this Article

Masayuki Yokoyama, Ryohei Koyama, and Masao Yanagisawa, “An Evaluation of Hand-Force Prediction Using Artificial Neural-Network Regression Models of Surface EMG Signals for Handwear Devices,” Journal of Sensors, vol. 2017, Article ID 3980906, 12 pages, 2017. doi:10.1155/2017/3980906