Tongue Motion Detection Based on BEP Signal around Frontal Neck by Using SVM
Tongue Motion Detection Based on BEP Signal around Frontal Neck by Using SVM
复制标题
基于SVM的颈前BEP信号舌头运动检测
DOI：
10.1299/kikaic.78.3970
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
T. Fujisawa
中科院分区：
文献类型：
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作者：
Y. Hasegawa;Satoru Suezawa;Junji Takahashi;T. Fujisawa
©2012 The Japan Society of Mechanical Engineers本文提出了一种基于额颈部周围的BEP信号的舌头运动检测方法，该方法用于控制四肢瘫痪患者的支撑装置。该方法提取了由贴在额颈部皮肤表面的多个阵列电极测量的BEP信号的一些特征。由于支持向量机是弱非线性系统中一种有效的模式识别算法，该方法利用支持向量机将舌运动信号分为六类。我们通过实验研究了检测算法的性能，然后证实，所有运动检测的准确率超过92%。
©2012 The Japan Society of Mechanical Engineers 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%.
影响因子：
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作者：
Hsu, CW;Lin, CJ
通讯作者：
Lin, CJ