Research on genetic algorithm based on emotion recognition with physiological signals

Regarded the emotion recognition as a combinational mode optimization problem,affective feature extraction is acquired from the physiological signal:ECG,EMG,SC,RSP,the genetic algorithm and the nearest neighbor algorithm is used to searching the optimal feature subset which represents exactly the relevant affective states:joy,anger,sadness,pleasure.The experiment shows that the method is feasible and effective.