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A Survey of Approaches for Recognizing Hand Gestures Using EMG Signal

Title
A Survey of Approaches for Recognizing Hand Gestures Using EMG Signal
Authors
Shin, SeongjooLee, Jin-HeeSon, Sang Hyuk
DGIST Authors
Shin, Seongjoo; Lee, Jin-Hee; Son, Sang Hyuk
Issue Date
2016
Citation
22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016, 263
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
Researchers have developed diverse methods for detecting hand gestures using EMG signal. The signal of EMG sensor can be measured on a human skin surface. There are two approaches to recognizing hand gestures. One approach is to fuse EMG sensor with others sensors. It is possible to extract various motion features. Other approach uses algorithms that improve the recognition accuracy. We survey two approaches for detecting hand gestures. In future work, we plan to implement the method that can recognize various hand gestures in robust and accurate manner. © 2016 IEEE.
URI
http://hdl.handle.net/20.500.11750/3617
DOI
10.1109/RTCSA.2016.22
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems Research) Lab
  • Research Interests
Files:
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Collection:
ETC2. Conference Papers


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