Chao Li, Zhiyong Feng, Chao Xu
International Conference on Smart Computing,2014
Chairman: Shih-Chung Chen
Presenter: Chung-Yi Li
Advisor: Dr. Chun-Ju Hou
Date:2015/12/02

 Introduction
 Related Work
 Analysis of Group-Based Model
 Experiment Results
 Conclusion
 References

 Emotion Recognition offers a smooth interface between humans and computers in the field of
HCI, which enables machines to understand human emotions correctly.
 Physiological signals, which is considered as embodiment in emotion, have its advantages for emotion recognition.

 There are two widely-adopted approaches for general modeling in emotion recognition.
 Human’s social attribute
 User-independent modeling

 Based on this, this paper proposes a Group-
Based IRS model for user-independent system.

 This paper collects affective physiological data from 11 subjects in four emotions to investigate the influence of IRS towards physiologicalbased emotion recognition in user-independent scenario.
 The result validates the effectiveness of groupbased IRS model where the recognition rate is higher than general model for majority of algorithms.

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