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2009 International Joint Conference on Computational Sciences and Optimization
Towards an Emotion Recognition System Based on Biometrics
Sanya, Hainan, China
April 24-April 26
ISBN: 978-0-7695-3605-7
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 user’s ECG signal patterns, K-meansbased EM algorithm is applied.
Citation:
Taehyun Kim, Dongil Shin, Dongkyoo Shin, "Towards an Emotion Recognition System Based on Biometrics," cso, vol. 1, pp.656-659, 2009 International Joint Conference on Computational Sciences and Optimization, 2009
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