NDLI: The research of EMG signal in emotion recognition based on TS and SBS algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ying Cheng Guang-Yuan Liu Hui-ling Zhang
Copyright Year	2010
Description	Author affiliation: School of Electronic and Information Engineering, Southwest University, Chongqing, China (Ying Cheng; Guang-Yuan Liu; Hui-ling Zhang)
Abstract	This study is on the emotion recognition based on electromyography (EMG) signal. EMG signals from multiple subjects were collected when film clips were shown to them, next all of the data were de-noised and original features were extracted with wavelet transform method, then feature selection was done using the Tabu search (TS) algorithm combined with the Sequential Backward Selection (SBS), at last in recognition of six emotions (happiness, surprise, disgust, sadness, grief, anger and fear), better recognition rate were obviously obtained based on selected feature subset. Results show that through the optimization of TS algorithm with SBS, the dimension of feature subset was reduced, and the emotion recognition of physiological signal also achieved good effects
Starting Page	363
Ending Page	366
File Size	85402
Page Count	4
File Format	PDF
ISBN	9781424473847
e-ISBN	9781424473861
DOI	10.1109/ICICIS.2010.5534805
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Emotion recognition Noise reduction SBS Muscles Discrete wavelet transforms Biological materials Emotion Recognition Wavelet Transform Mood Tabu search EMG signal Feature extraction Bioelectric phenomena Electromyography
Content Type	Text
Resource Type	Article

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