DocumentCode :
3742656
Title :
Design of an EMG signal recognition system for human-smartphone interface
Author :
Seong Mo Lee;Sang Don Kim;Ji Hoon Jang;Sang Muk Lee;Seung Eun Lee
Author_Institution :
Dept. of Electronic Engineering, Seoul National University of Science and Technology, Seoul, Korea
fYear :
2015
Firstpage :
337
Lastpage :
338
Abstract :
In this paper, we propose an EMG signal recognition system for human-smartphone interface. Proposed system provides user experience and interface to control a smartphone application, recognizing pattern of surface electromyography (sEMG) in real time. For classifying events according to transition of the sEMG, classification checks whether an event is active or not in accordance with algorithm to compare the threshold value of the sEMG signal. Proposed system is portable and is able to be integrated into the SoC thanks to a part of proposed system in the field programmable gate array (FPGA). We expect proposed system can be exploited in the entertainment field and wearable device market.
Keywords :
"Electromyography","Bluetooth","Field programmable gate arrays","Band-pass filters","Classification algorithms","Data processing","Data communication"
Publisher :
ieee
Conference_Titel :
SoC Design Conference (ISOCC), 2015 International
Type :
conf
DOI :
10.1109/ISOCC.2015.7401725
Filename :
7401725
Link To Document :
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