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Emotion Recognition System Using Neural Networks in Textile Images  

Kim, Na-Yeon (건국대학교 신기술융합학과)
Shin, Yun-Hee (건국대학교 신기술융합학과)
Kim, Soo-Jeong (건국대학교 인터넷 미디어공학부)
Kim, Jee-In (건국대학교 신기술융합학과)
Jeong, Karp-Joo (건국대학교 신기술융합학과)
Koo, Hyun-Jin (FITI 신뢰성평가팀)
Kim, Eun-Yi (건국대학교 신기술융합학과)
Publication Information
Journal of KIISE:Software and Applications / v.34, no.9, 2007 , pp. 869-879 More about this Journal
Abstract
This paper proposes a neural network based approach for automatic human emotion recognition in textile images. To investigate the correlation between the emotion and the pattern, the survey is conducted on 20 peoples, which shows that a emotion is deeply affected by a pattern. Accordingly, a neural network based classifier is used for recognizing the pattern included in textiles. In our system, two schemes are used for describing the pattern; raw-pixel data extraction scheme using auto-regressive method (RDES) and wavelet transformed data extraction scheme (WTDES). To assess the validity of the proposed method, it was applied to recognize the human emotions in 100 textiles, and the results shows that using WTDES guarantees better performance than using RDES. The former produced the accuracy of 71%, while the latter produced the accuracy of 90%. Although there are some differences according to the data extraction scheme, the proposed method shows the accuracy of 80% on average. This result confirmed that our system has the potential to be applied for various application such as textile industry and e-business.
Keywords
Emotion recognition; neural networks; pattern recognition; feature extraction; wavelet transform;
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1 Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., and Taylor, J. G., 'Emotion recognition in human-computer interaction,' IEEE Signal Processing magazine, Vol. 18, No. 1, pp. 32-80, Jan. 2001   DOI   ScienceOn
2 D. Ververidis, and C. Kotropoulos, 'Automatic speech classification to five emotional states based on gender information,' Proceedings of the EUSIPCO2004 Conference, Austria, pp. 341-344, Sept. 2004
3 Simon Haykin, Neural Networks a comprehensive foundation 2nd edition, Prentice Hall, pp. 10-13, pp. 156-173, 1999
4 Fu-Chiang Tsui, Mingui Sun, Ching-Chung Li, Robert J. Sclabassi, 'RECURRENT NEURAL NETWORKS AND DISCRETE WAVELET TRANSFORM FOR TIME SERIES MODELING AND PREDICTION', ICASSP International Conference on Vol. 5, pp. 3359-3362, May 1995
5 종현, 박순영, 조완현, 오일석, '색상특징과 웨이블렛 기반의 질감특징을 이용한 영상검색', 정보과학회 논문지 : 데이타베이스 제 30권 제 2호(2003.4)
6 K.U. Barthel, JSchiittemeyer, T.Voye, and P.Noll, 'A new image coding technique unifying fractal and transform coding,' IEEE ICIP Texas, pp. 112-116, 1994
7 Hatice Gunes and Massimo Piccardi, 'Fusing face and body gesture for machine recognition of emotions,' IEEE International Workshop on Robots and Human Interactive Communication, 2005
8 류형주, 채송아, 김수정, 김은이, 김지인, 정갑주, 구현진, '퍼지시스템을 이용한 텍스타일 인덱싱', 한국정보과학회 가을 학술발표논문집, Vol. 31, No. 2, 2004
9 G. Donato, M. S. Bartlett, J. C. Hager, P. Ekman, and T. J. Sejnowski, 'Classifying facial actions,' IEEE Trans. Pattern Anal. Machine Intell., Vol. 21, pp. 974-989, Oct. 1999   DOI   ScienceOn
10 H.-U. Bauer and T. Geisel, 'Dynamics of signal processing in feedback multilayer perceptrons,' in Proc. Int. Joint Conf. Neural Networks, pp. 131-136, 1990
11 Eun Yi Kim, Soo-jeong Kim, Hyun-jin Koo, Karpjoo Jeong, Jee-in Kim, 'Emotion-based Textile Indexing using Colors and Texture,' Lecture Notes in Computer Sciences, Vol. 3613, pp. 1077-1080, 2005
12 Huiping Li, David Doermann, and Omid Kia, 'Automatic Text Detection and Tracking in Digital Video', IEEE Transactions on Image Processing, Vol. 9, No. 1, January 2000
13 Eun Yi Kim; Sin Kuk Kang; Keechul Jung; Hang Joon Kim; Consumer Electronics, 2005. ICCE. 2005 Digest of Technical Papers. International Conference on 8-12 Jan. 2005 Page(s):207-208
14 Aishah Abd Razak,Mohd Hafizuddin Mohd Yusof, Ryoichi Komiya, 'Towards automatic recognition of emotion in speech,' IEEE International Symposium on Signal Processing and Information Technology, 2003
15 M. Brown, P. C. An, C. J. Harris, and H. Wang, 'How biased is your multi-layer perceptron?,' in World Congr. Neural Networks, pp. 507-511, 1993
16 L. Ma and K. Khorasani, 'Facial Expression Recognition Using Constructive Feedforward Neural Networks,' IEEE Transactions on System, Man, and Cybernetics - part B: Cybernetics, Vol. 34, No. 3, June 2004
17 T. Soen, T. Shimada, and M. Akita, 'Obgective Evaluation of Color Design II', Color Res. Appl., Vol. 12, pp. 187-194, 1987   DOI
18 Em Yi Kim, Sin Kuk Kang, Keechul Jung and Hang Joon Kim, 'Eye Mouse- Mouse Implementation using Eye Tracking,' IEEE International Conference on Consumer Electronis, pp. 207-208, 2005
19 Bjom Schuller, Gerhard Rigoll, and Manfred Lang, 'Emotion recognition in the manual interaction with graphical user interfaces,' IEEE International Conference on Vol. 2, pp. 1215-1218, June 2004