Tongue Motion Detection Based on BEP Signal around Frontal Neck by Using SVM
Yasuhisa Hasegawa · TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C · 2012
This paper proposes a detection method of tongue motions based on BEP signal around a frontal neck, which is used to control a support device for a quadriplegic patient. This method extracts some features of BEP signal that is measured by multiple array electrodes attached on a skin surface of a frontal neck. A Support Vector Machine (SVM) in the proposed method classifies the signal into six kinds of the tongue motions, since the SVM is a potent pattern recognition algorithm in weakly nonlinear system. We investigate the performance of the detection algorithm through the experiments and then confirmed that accuracy of all motions detection is more than 92%.