Physiological parameters assessment for emotion recognition

Kuo-Sheng Cheng, Yu Shan Chen, Ting Wang

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

Emotion cognition becomes an important issue in the research areas of smart home, health promotion, etc. In general, a set of multiple physiological signals have been used for emotion recognition. In this study, the associated parameters derived from all the multiple physiological signals during emotion detection are analyzed and assessed. Firstly, a stand-alone multiple physiological signals acquisition system is developed. Secondly, the well-known IAPS (International Affective Picture System) is employed to elicit the affective responses of happiness, pleasure, disgust, and fear for subject test. These physiological signals including photoplethysmogram, electromyogram, electrocardiogram, galvanic skin response, and skin temperature are measured simultaneously. After signal normalization, signal preprocessing, feature extraction, and feature selection, nineteen parameters are input to the support vector machine classifier for the parameter significance evaluation during emotion recognition. From the experimental results, some parameters are not good in emotion analysis based on the significance of paired t-test.

原文English
主出版物標題2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012
頁面995-998
頁數4
DOIs
出版狀態Published - 2012 12月 1
事件2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 - Langkawi, Malaysia
持續時間: 2012 12月 172012 12月 19

出版系列

名字2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012

Other

Other2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012
國家/地區Malaysia
城市Langkawi
期間12-12-1712-12-19

All Science Journal Classification (ASJC) codes

  • 生物醫學工程

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