Application of support vector regression for phyciological emotion recognition

Chuan Yu Chang, Jun Ying Zheng, Chi-Jen Wang, Pau-Choo Chung

研究成果: Conference contribution

1 引文 (Scopus)

摘要

Cases of physical and mental diseases caused by stress and negative emotions have increased annually. Many emotion recognition methods have been proposed. Facial expression is widely used for emotion recognition. However, since facial expressions may be expressed differently by different people, inaccurate results are unavoidable. Nerve and Physiological responses are incontrollable native response. Physiological responses and the corresponding signals are difficult to control when a person is overcome with emotion. Therefore, an emotion recognition system that considers physiological signals is proposed in this paper. An emotion induction experiment was performed to collect five physiological signals from subjects, namely electrocardiogram, respiration, galvanic skin response (GSR), blood volume pulse, and pulse. Support vector regression (SVR) was used to train three trend curves of three emotions (sadness, fear, and pleasure). Experimental results show that the proposed method has a high recognition rate of 90.6%.

原文English
主出版物標題ICS 2010 - International Computer Symposium
頁面12-17
頁數6
DOIs
出版狀態Published - 2010 十二月 1
事件2010 International Computer Symposium, ICS 2010 - Tainan, Taiwan
持續時間: 2010 十二月 162010 十二月 18

出版系列

名字ICS 2010 - International Computer Symposium

Other

Other2010 International Computer Symposium, ICS 2010
國家Taiwan
城市Tainan
期間10-12-1610-12-18

指紋

Electrocardiography
Skin
Blood
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

引用此文

Chang, C. Y., Zheng, J. Y., Wang, C-J., & Chung, P-C. (2010). Application of support vector regression for phyciological emotion recognition. 於 ICS 2010 - International Computer Symposium (頁 12-17). [5685532] (ICS 2010 - International Computer Symposium). https://doi.org/10.1109/COMPSYM.2010.5685532
Chang, Chuan Yu ; Zheng, Jun Ying ; Wang, Chi-Jen ; Chung, Pau-Choo. / Application of support vector regression for phyciological emotion recognition. ICS 2010 - International Computer Symposium. 2010. 頁 12-17 (ICS 2010 - International Computer Symposium).
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title = "Application of support vector regression for phyciological emotion recognition",
abstract = "Cases of physical and mental diseases caused by stress and negative emotions have increased annually. Many emotion recognition methods have been proposed. Facial expression is widely used for emotion recognition. However, since facial expressions may be expressed differently by different people, inaccurate results are unavoidable. Nerve and Physiological responses are incontrollable native response. Physiological responses and the corresponding signals are difficult to control when a person is overcome with emotion. Therefore, an emotion recognition system that considers physiological signals is proposed in this paper. An emotion induction experiment was performed to collect five physiological signals from subjects, namely electrocardiogram, respiration, galvanic skin response (GSR), blood volume pulse, and pulse. Support vector regression (SVR) was used to train three trend curves of three emotions (sadness, fear, and pleasure). Experimental results show that the proposed method has a high recognition rate of 90.6{\%}.",
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Chang, CY, Zheng, JY, Wang, C-J & Chung, P-C 2010, Application of support vector regression for phyciological emotion recognition. 於 ICS 2010 - International Computer Symposium., 5685532, ICS 2010 - International Computer Symposium, 頁 12-17, 2010 International Computer Symposium, ICS 2010, Tainan, Taiwan, 10-12-16. https://doi.org/10.1109/COMPSYM.2010.5685532

Application of support vector regression for phyciological emotion recognition. / Chang, Chuan Yu; Zheng, Jun Ying; Wang, Chi-Jen; Chung, Pau-Choo.

ICS 2010 - International Computer Symposium. 2010. p. 12-17 5685532 (ICS 2010 - International Computer Symposium).

研究成果: Conference contribution

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Chang CY, Zheng JY, Wang C-J, Chung P-C. Application of support vector regression for phyciological emotion recognition. 於 ICS 2010 - International Computer Symposium. 2010. p. 12-17. 5685532. (ICS 2010 - International Computer Symposium). https://doi.org/10.1109/COMPSYM.2010.5685532