The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2015
Session ID : 2A2-J06
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2A2-J06 Japanese Syllabary Identification Using Myoeletric Potential of Neck Muscles
Yasuhisa HASEGAWAKentaro SUZUKI
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Keywords: Tongue, EMG, SVM, Support device
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Abstract
The purpose of this paper is to achieve Japanese syllabary identification for a tissue-related articulation person who has an abnormality in the shape of mouth and the tongue. The device assists his/her communication with other persons without utterance since they cannot utter well. The device that a support vector machine is incorporated in reads the intended Japanese syllabary based on myoeletric potential using an array electrode attached on the anterior surface of neck. As a first step, an experiment is conducted in order to identify Japanese syllabary (46 kinds) and rest state. As a result, the average of identification accuracy is 96.6% and even worst accuracy of the specific sound is more than 80%.
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© 2015 The Japan Society of Mechanical Engineers
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