Physiological parameters assessment for emotion recognition

Kuo-Sheng Cheng, Yu Shan Chen, Ting Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012
Pages995-998
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 - Langkawi, Malaysia
Duration: 2012 Dec 172012 Dec 19

Publication series

Name2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012

Other

Other2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012
CountryMalaysia
CityLangkawi
Period12-12-1712-12-19

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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