[1] Cheng Minmin, Lu Zuhong, Wang Haixian,. Single-trial EEG-based emotion recognition usingtemporally regularized common spatial pattern [J]. Journal of Southeast University (English Edition), 2015, 31 (1): 55-60. [doi:10.3969/j.issn.1003-7985.2015.01.010]

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Single-trial EEG-based emotion recognition usingtemporally regularized common spatial pattern()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

31

Issue:

2015 1

Page:

55-60

Research Field:

Computer Science and Engineering

Publishing date:

2015-03-30

Info

Title:

Single-trial EEG-based emotion recognition usingtemporally regularized common spatial pattern

Author(s):

Cheng Minmin;  Lu Zuhong;  Wang Haixian

Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing 210096, China
Research Center for Learning Science, Southeast University, Nanjing 210096, China

Keywords:

emotion recognition;  temporal regularization;  common spatial patterns(CSP);  two-character Chinese words;  permutation test

PACS:

TP391

DOI:

10.3969/j.issn.1003-7985.2015.01.010

Abstract:

This study addresses the problem of classifying emotional words based on recorded electroencephalogram(EEG)signals by the single-trial EEG classification technique. Emotional two-character Chinese words are used as experimental materials. Positive words versus neutral words and negative words versus neutral words are classified, respectively, using the induced EEG signals. The method of temporally regularized common spatial patterns(TRCSP)is chosen to extract features from the EEG trials, and then single-trial EEG classification is achieved by linear discriminant analysis. Classification accuracies are between 55% and 65%. The statistical significance of the classification accuracies is confirmed by permutation tests, which shows the successful identification of emotional words and neutral ones, and also the ability to identify emotional words. In addition, 10 out of 15 subjects obtain significant classification accuracy for negative words versus neutral words while only 4 are significant for positive words versus neutral words, which demonstrate that negative emotions are more easily identified.

References:

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Memo

Memo:

Biographies: Cheng Minmin(1984—), female, graduate; Wang Hai-xian(corresponding author), male, doctor, professor, hxwang@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No. 61375118), the Program for New Century Excellent Talents in University of China(No. NCET-12-0115).
Citation: Cheng Minmin, Lu Zuhong, Wang Haixian.Single-trial EEG-based emotion recognition using temporally regularized common spatial pattern[J].Journal of Southeast University(English Edition), 2015, 31(1):55-60.[doi:10.3969/j.issn.1003-7985.2015.01.010]

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