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A Study of Electromyogram Based on Human-Computer Interface 被引量：1

A Study of Electromyogram Based on Human-Computer Interface
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摘要 In this paper, a new control system based on forearm electromyogram （EMG） is proposed for computer peripheral control and artificial prosthesis control. This control system intends to realize the commands of six pre-defined hand poses： up, down, left, right, yes, and no. In order to research the possibility of using a unified amplifier for both electroencephalogram （EEG） and EMG, the surface forearm EMG data is acquired by a 4-channel EEG measurement system. The Bayesian classifier is used to classify the power spectral density （PSD） of the signal. The experiment result verifies that this control system can supply a high command recognition rate （average 48%） even the EMG data is collected with an EEG system just with single electrode measurement. In this paper, a new control system based on forearm electromyogram （EMG） is proposed for computer peripheral control and artificial prosthesis control. This control system intends to realize the commands of six pre-defined hand poses： up, down, left, right, yes, and no. In order to research the possibility of using a unified amplifier for both electroencephalogram （EEG） and EMG, the surface forearm EMG data is acquired by a 4-channel EEG measurement system. The Bayesian classifier is used to classify the power spectral density （PSD） of the signal. The experiment result verifies that this control system can supply a high command recognition rate （average 48%） even the EMG data is collected with an EEG system just with single electrode measurement.
作者 Jun-Ru Ren Tie-Jun Liu Yu Huang De-Zhong Yao
机构地区 Key Laboratory for NeuroInformation of Ministry of Education
出处 《Journal of Electronic Science and Technology of China》 2009年第1期69-73,共5页 中国电子科技（英文版）
基金 supported by the National Natural Science Foundation of China under Grant No. 60736029 and 30525030 UESTC Youth Foundation under Grant No. L08010901JX0772 for support.
关键词 Bayesian classifier forearm electro-myogram hand pose human-computer interface. Bayesian classifier,forearm electro-myogram,hand pose,human-computer interface.
分类号 TP311.52 [自动化与计算机技术—计算机软件与理论] TH772.2 [机械工程—精密仪器及机械]
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参考文献16

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Journal of Electronic Science and Technology of China
2009年 第1期

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