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Human-Computer Interface using sEMG according to the Number of Electrodes  

Lee, Seulbi (울산대학교 전기전자컴퓨터공학과 의용생체공학전공)
Chee, Youngjoon (울산대학교 전기공학부)
Publication Information
Journal of the HCI Society of Korea / v.10, no.2, 2015 , pp. 21-26 More about this Journal
Abstract
NUI (Natural User Interface) system interprets the user's natural movement or the signals from human body to the machine. sEMG (surface electromyogram) can be observed when there is any effort in muscle even without actual movement, which is impossible with camera and accelerometer based NUI system. In sEMG based movement recognition system, the minimal number of electrodes is preferred to minimize the inconvenience. We analyzed the decrease in recognition accuracy as decreasing the number of electrodes. For the four kinds of movement intention without movement, extension (up), flexion (down), abduction (right), and adduction (left), the multilayer perceptron classifier was used with the features of RMS (Root Mean Square) from sEMG. The classification accuracy was 91.9% in four channels, 87.0% in three channels, and 78.9% in two channels. To increase the accuracy in two channels of sEMG, RMSs from previous time epoch (50-200 ms) were used in addition. With the RMSs from 150 ms, the accuracy was increased from 78.9% to 83.6%. The decrease in accuracy with minimal number of electrodes could be compensated partly by utilizing more features in previous RMSs.
Keywords
Human Computer Interface (HCI); Natural User Interface (NUI); surface Electromyogram (sEMG); Moving intention; Pattern recognition;
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Times Cited By KSCI : 1  (Citation Analysis)
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