Development of sEMG-based robust oral motion classification method and its application to electric wheelchair operation

Interfaces based on surface electromyography (sEMG) signals are one of the important methods for non-invasively extracting the intention of a severely disabled person and supporting environmental control of wheelchairs and personal computers. However, sEMG-based interfaces generally have a common an...

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Bibliographic Details
Main Authors: Yukiya NAKAI, Makoto SASAKI, Katsuhiro KAMATA, Atsushi NAKAYAMA
Format: article
Language:EN
Published: The Japan Society of Mechanical Engineers 2019
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Online Access:https://doaj.org/article/c0dce470acf14d06917fb1d539f06331
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