期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2015
卷号：3
期号：1
页码：49-54
出版社：International Journal of Computer Science and Network Solutions
摘要：Brain Computer Interface (BCI) is becoming increasingly popular. Our paperfocused on an applied of it that is called recognizing emotion from human brainactivity, measured by EEG signals. EEG signals were analyzed and classified intothree emotions—happiness, sadness and normal. For emotion recognition, RadialBased Function (RBF) is applied to classify the emotional signals and featureextraction techniques are investigated. Using gathered data under EEG signalsemotion stimulation experiments, the classifier is trained and tested. After applyingclassification and different feature extraction methods to 300 EEG time series, weconcluded that frequency-band energy features outperformed other methods in theemotion assessment
