Conference Proceedings

Third International Conference on Advances in Information Processing and Communication Technology - IPCT 2015

Multichannel EEG Signal Acquisition and Multiwavelet Based Emotion Recognition using BCI

Author(s) : JOGESH MOTWANI, SHANTALA C P

Abstract

This paper aims to recognize emotion through EEG. The EEG signals are acquired from the wireless wearable 8- channel Enobio device for the emotions such as smile and anger. The acquired EEG signals are processed to recognize selected emotions. The features like mean, standard deviation, median, entropy, variance, minimum, maximum and skewness have been extracted from sub-signals obtained by multiwavelet decomposition of EEG signals. These features are used as an input to support vector machine (SVM) for classification of human emotions. The proposed method has provided classification accuracy of 87.5% using SVM.

Conference Title : Third International Conference on Advances in Information Processing and Communication Technology - IPCT 2015
Conference Date(s) : 10-11 December, 2015
Place : Hotel Novotel Roma La Rustica, Rome, Italy
No fo Author(s) : 2
DOI : 10.15224/978-1-63248-077-4-24
Page(s) : 85 - 89
Electronic ISBN : 978-1-63248-077-4
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