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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.8 No.2
- 발행연도
- 2008.6
- 수록면
- 105 - 110 (6page)
이용수
초록· 키워드
오류제보하기
Human being recognizes emotion fusing information of the other speech signal, expression, gesture and bio-signal. Computer needs technologies that being recognized as human do using combined information. In this paper, we recognized five emotions (normal, happiness, anger, surprise, sadness) through speech signal and facial image, and we propose to method that fusing into emotion for emotion recognition result is applying to multimodal method. Speech signal and facial image does emotion recognition using Principal Component Analysis (PCA) method. And multimodal is fusing into emotion result applying fuzzy membership function. With our experiments, our average emotion recognition rate was 63% by using speech signals, and was 53.4% by using facial images. That is, we know that speech signal offers a better emotion recognition rate than the facial image. We proposed decision fusion method using S-type membership function to heighten the emotion recognition rate. Result of emotion recognition through proposed method, average recognized rate is 70.4%. We could know that decision fusion method offers a better emotion recognition rate than the facial image or speech signal.
목차
Abstract
1. Introduction
2. Feature Extraction
3. An Emotion Recognition using Speech Signal
4. An Emotion Recognition using Facial Image
5. An Emotion Recognition using Multimodal Fusion Method
6. Conclusion
Reference
참고문헌 (12)
참고문헌 신청
1. [학술지(정기간행물)] - 박창현 / 2006 / 음성신호를 이용한 감성인식에서의 패턴인식 방법 / 제어.로봇.시스템학회 논문지 12 (3) : 284 ~ 288
2. [학술지(정기간행물)] - Weon-Goo Kim / 2003 / Comparison of feature parameters for emotion recognition using speech signal / Journal of Institute of Electronics Engineers of Korea(IEEK) 40 (5) : 371 ~ 377
3. [학술지(정기간행물)] - Young-Suk Shin / 2005 / The Effect of Facial Expression Recognition Based on the Dimensions of Emotion using PCA Representation and Neural Networks / Lecture Notes in Computer Science(LNCS) 3656 : 1133 ~ 1140
4. [학술지(정기간행물)] - Su-Jeong Han / 2003 / Facial Expression Recognition using ICA-Factorial Representation Method / Journal of Korea Fuzzy Logic and Intelligent Systems Society(KFIS) 13 (3) : 371 ~ 376
5. [학술지(정기간행물)] - Mingli Song / 2004 / Audio-Visual based Emotion Recognition / Proc. of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) 2 : 1020 ~ 1125
2. [학술지(정기간행물)] - Weon-Goo Kim / 2003 / Comparison of feature parameters for emotion recognition using speech signal / Journal of Institute of Electronics Engineers of Korea(IEEK) 40 (5) : 371 ~ 377
3. [학술지(정기간행물)] - Young-Suk Shin / 2005 / The Effect of Facial Expression Recognition Based on the Dimensions of Emotion using PCA Representation and Neural Networks / Lecture Notes in Computer Science(LNCS) 3656 : 1133 ~ 1140
4. [학술지(정기간행물)] - Su-Jeong Han / 2003 / Facial Expression Recognition using ICA-Factorial Representation Method / Journal of Korea Fuzzy Logic and Intelligent Systems Society(KFIS) 13 (3) : 371 ~ 376
5. [학술지(정기간행물)] - Mingli Song / 2004 / Audio-Visual based Emotion Recognition / Proc. of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) 2 : 1020 ~ 1125
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