DocumentCode
2818214
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
Volume
1
fYear
2009
fDate
24-26 April 2009
Firstpage
656
Lastpage
659
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3605-7
Type
conf
DOI
10.1109/CSO.2009.497
Filename
5193780
Link To Document