Emotion Detection Using EEG Signal Analysis
Journal Title: International Journal of Electronics Communication and Computer Technology - Year 2015, Vol 5, Issue 2
Abstract
This paper focus on various techniques for emotion extraction and emotion classification methods using EEG analysis, and various database for EEG are summarized. In the feature extraction techniques, discrete wavelet transformation, higher order crossing, and short time Fourier transform and mutual information methods are studied. In the feature classification techniques, principal component analysis, linear discriminant analysis, and support vector machine are studied. In this paper, DEAP databases, IAPS and IADS databases, ReadingLeeds database, Belfast database, CREST-ESP database, and CREMA database EEG database, this various databases are also studied for detection of emotion using EEG signal.
Authors and Affiliations
K. S. Bhagat| Assistant Professor, J.T. Mahajan College of ngineering, Faizpur, India, Dr. P. M. Mahajan| Assistant Professo, J.T. Mahajan College of ngineering, Faizpur, India, Gunjal P. Waghulade| M.E. IVth Semester, J.T. Mahajan College of ngineering, Faizpur, India
Keywords
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- EP ID EP8436
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