Cross-Subject Emotion Recognition Using Flexible Analytic Wavelet Transform From EEG Signals

• Published in: IEEE sensors journal Vol. 19; no. 6; pp. 2266 - 2274
• Main Authors: Gupta, Vipin, Chopda, Mayur Dahyabhai, Pachori, Ram Bilas
• Format: Journal Article
• Language: English
• Published: New York IEEE 15.03.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Brain; Classification; Decomposition; EEG; Electroencephalography; Emotion recognition; Emotions; FAWT; Feature extraction; Feature recognition; Human emotions; Human performance; random forest; Sensors; Signal processing; Support vector machines; SVM; Transforms; Wavelet analysis; Wavelet transforms

Human emotion is a physical or psychological process which is triggered either consciously or unconsciously due to perception of any object or situation. The electroencephalogram (EEG) signals can be used to record ongoing neuronal activities in the brain to get the information about the human emoti...