文章基本信息

标题：Classification model of arousal and valence mental states by EEG signals analysis and Brodmann correlations
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作者：Adrian Rodriguez Aguinaga ; Miguel Angel Lopez Ramirez ; Maria del Rosario Baltazar Flores 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2015
卷号：6
期号：6
DOI：10.14569/IJACSA.2015.060633
出版社：Science and Information Society (SAI)
摘要：This paper proposes a methodology to perform emotional states classification by the analysis of EEG signals, wavelet decomposition and an electrode discrimination process, that associates electrodes of a 10/20 model to Brodmann regions and reduce computational burden. The classification process were performed by a Support Vector Machines Classification process, achieving a 81.46 percent of classification rate for a multi-class problem and the emotions modeling are based in an adjusted space from the Russell Arousal Valence Space and the Geneva model.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Emotions; Affective Computing; EEG; SVM; Wavelets