지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.4
- 수록면
- 364 - 371 (8page)
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초록· 키워드
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Emotion Recognition is one of the important part to develop in human-human and human computer interaction. In this paper, we have focused on the performance of multi-class SVM (Support Vector Machine) with Gaussian RFB (Radial Basis function) kernel, which has been used to solve the problem of emotion recognition from physiological signals and to improve the accuracy of emotion recognition. The experimental paradigm for data acquisition, visual-stimuli of IAPS (International Affective Picture System) are used to induce emotional states, such as fear, disgust, joy, and neutral for each subject. The raw signals of acquisited data are splitted in the trial from each session to pre-process the data. The mean value and standard deviation are employed to extract the data for feature extraction and preparing in the next step of classification. The experimental results are proving that the proposed approach of multi-class SVM with Gaussian RBF kernel with OVO (One-Versus-One) method provided the successful performance, accuracies of classification, which has been performed over these four emotions.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. RELATED WORKS
Ⅲ. MEANINGFUL FEATURE SELECTION FROMPHYSIOLOGICAL RESPONSES
Ⅳ. PHYSIOLOGICAL RESPONSE-BASEDAUTOMATIC EMOTION RECOGNITION
Ⅴ. CONCLUSION
REFERENCES
참고문헌 (13)
참고문헌 신청
1. [단행본] - J. Lang / 1999 / International Affective Picture System(IAPS) / Center for Research in Psychophysiology, University of Florida
2. [학술지(정기간행물)] - T. Cacioppo / 1990 / Inferring psychological significance from physiological signals / American Psychologist 45 (45) : 16 ~ 28
3. [학술지(정기간행물)] - E. Vyzas / 2001 / Toward machine emotional intelligence / Analysis of Affective Physiological State, IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (10) : 1175 ~ 1191
4. [학술지(정기간행물)] - J. Posner / 2005 / The circumflex model of affect / An Integrative Approach to Affective Neuroscience, Cognitive Development and Psychopathology 17 (3) : 715 ~ 734
5. [학술지(정기간행물)] - H. Kim / 2004 / Emotion recognition system using short-term monitoring of physiological signals / Medical and Biological Engineering and Computing 42 (3) : 417 ~ 427
2. [학술지(정기간행물)] - T. Cacioppo / 1990 / Inferring psychological significance from physiological signals / American Psychologist 45 (45) : 16 ~ 28
3. [학술지(정기간행물)] - E. Vyzas / 2001 / Toward machine emotional intelligence / Analysis of Affective Physiological State, IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (10) : 1175 ~ 1191
4. [학술지(정기간행물)] - J. Posner / 2005 / The circumflex model of affect / An Integrative Approach to Affective Neuroscience, Cognitive Development and Psychopathology 17 (3) : 715 ~ 734
5. [학술지(정기간행물)] - H. Kim / 2004 / Emotion recognition system using short-term monitoring of physiological signals / Medical and Biological Engineering and Computing 42 (3) : 417 ~ 427
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