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Modified energy based time-frequency features for classifying human emotions using EEG
(Universiti Malaysia Perlis, 2009-10-11)
In this paper we summarize the emotion recognition from the electroencephalogram (EEG) signals. The combination of surface Laplacian filtering, time-frequency analysis (Wavelet Transform) and linear classifiers are used ...
Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG
(World Scientific abd Engineering Academy and Scoiety (WSEAS), 2008)
Electroencephalogram (EEG) is one of the most reliable physiological signals used for detecting the emotional states of human brain. We propose Asymmetric Ratio (AR) based channel selection for human emotion recognition ...
Appraising human emotions using time frequency analysis based EEG alpha band features
(Institute of Electrical and Electronics Engineering (IEEE), 2009-07-25)
In recent years, assessing human emotions through Electroencephalogram (EEG) is become one of the active research area in Brain Computer Interface (BCI) development. The combination of surface Laplacian filtering, ...