Title :
Towards an Emotion Recognition System Based on Biometrics
Author :
Kim, Taehyun ; Shin, Dongil ; Shin, DongKyoo
Author_Institution :
Dept. of Comput. Eng., Sejong Univ., Seoul, South Korea
Abstract :
This paper describes an emotion recognition system based on human biosignal patterns. The emotion recognition system can recognize a user´s emotional status by analyzing ECG signals. The system utilizes five basic signal values to predict the emotion patterns of the user: P, Q, R, S, and T. It consists of two processes: the supervised algorithm-based pattern analyzer and the human emotion analyzer. To recognize the userpsilas ECG signal patterns, K-means based EM algorithm is applied.
Keywords :
biometrics (access control); electrocardiography; image recognition; ECG signal; K-mean based EM algorithm; biometrics; emotion recognition system; human biosignal pattern; human emotion analyzer; supervised algorithm-based pattern analyzer; Biometrics; Data mining; Electrocardiography; Emotion recognition; Feature extraction; Heart; Humans; Pattern analysis; Signal analysis; Speech recognition;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.497
