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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3310-3314,3356

EEG emotion recognition based on piecewise complex multi-scale fuzzy entropy and IGWO-SVM algorithm

Wei Xue
Wu Qing
School of Artificial Intelligence & Data Science, Hebei University of Technology, Tianjin 300401, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0299

Abstract

This paper used a piecewise complex multi-scale fuzzy entropy to increase the recognition rate. It proposed piecewise coarse graining and calculating complex multi-scale fuzzy entropy. It could solve the problem of missing data and calcula-ting inaccurate entropy. This paper constructed an IGWO-SVM classification model which used cosine nonlinear convergence factor and dynamic and static position. To prove the validity of the algorithms, the paper performed the simulation experiment. Comparing the EEG emotion recognition rate with several common SVM optimization models in the public DEAP database, the results show that the average recognition rates of valance, arousal, dominance and liking are 87.27%, 87.81%, 89.06% and 87.58% in proposed model, which is higher than other algorithms. Comparing the classification of valance and arousal under high/low liking, experiments show that the recognition rate is higher when the liking is lower.

Foundation Support

天津市科技计划资助项目(15ZCZDNC00130)
河北省自然科学基金资助项目(F2015202239)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0299
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3310-3314,3356
Serial Number: 1001-3695(2019)11-025-3310-05

Publish History

[2019-11-05] Printed Article

Cite This Article

魏雪, 吴清. 分段复合多尺度模糊熵和IGWO-SVM的脑电情感识别 [J]. 计算机应用研究, 2019, 36 (11): 3310-3314,3356. (Wei Xue, Wu Qing. EEG emotion recognition based on piecewise complex multi-scale fuzzy entropy and IGWO-SVM algorithm [J]. Application Research of Computers, 2019, 36 (11): 3310-3314,3356. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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