Emotion recognition system design using multi-physiological signals

Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012

Volumn , Issue , 2012, Pages 499-503

  Jiang, Huiping ^a   Yang, Guosheng ^a   Gui, Xinkai ^a   Wu, Naiyu ^a   Zhang, Ting ^a  

^a MINZU UNIVERSITY OF CHINA   (China)

Author keywords

Ethnic emotion; Multi physiological; Pattern recognition

Indexed keywords

AUTONOMIC NERVOUS SYSTEM; BODY SURFACE; EMOTION RECOGNITION; ETHNIC EMOTION; FACIAL EXPRESSIONS; FEATURE EXTRACTION METHODS; MULTI-PHYSIOLOGICAL; PHYSIOLOGICAL SIGNALS;

FEATURE EXTRACTION; INFORMATION SCIENCE; PATTERN RECOGNITION;

PHYSIOLOGY;

EID: 84868635108     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCI-CC.2012.6311199     Document Type: Conference Paper

References (25)

1. K. H. Kim, S. W. Bang, S. R. Kim. "Emotion recognition system using short-term monitoring of physiological signals", Medical & Biological Engineering & Computing, 2004(42): 419-427.
2. L. Franco, Alessandro Treves, "A Neural Network Facial Expression Recognition System using Unsupervised" Local Processing, Cognitive Neuroscience Sector - SISSA
3. C. L. Lisetti, D. E. Rumelhart, "Facial Expression Recognition Using a Neural Network", 11th International FLAIRS Conference,2004: 328-332.
4. C. Busso, Z. Deng , S. Yildirim , M. Bulut , C.M. Lee, A. Kazemzadeh , S.B. Lee, U. Neumann , S. Narayanan, "Analysis of Emotion Recognition using Facial Expression", Speech and Multimodal Information, ICMI'04, PY, USA, 2004
5. Claude C. Chibelushi, Fabrice Bourel, "Facial Expression Recognition: A Brief Tutorial Overview".
6. C. D. Katsis, N. Katertsidis, G. Ganiatsas, and D. I. Fotiadis, "Toward Emotion Recognition in Car-Racing Drivers:A Biosignal Processing Approach", IEEE Transactions On Systems, Man, And Cybernetics-Part A: Systems And Humans, Vol. 38(3), 2008.
7. Chun chen, minyu you etcl, "an enhanced speech emotion recognition system based on discourse information", lecture notes in computer science, 2006, V3991:449-456.
8. G. Chanel, J. Kronegg, D. Grandjean, and T. Pun. Emotion assessment: Arousal evaluation using EEGs and peripheral physiological signals. In MRCS, pages 530-537, 2006.
9. A. Choppin. EEG-based human interface for disabled individuals: Emotion expression with neural networks. Master's thesis, Tokyo Institute of Technology, Yokohama, Japan, 2000.
10. Chen, L.S., Huang, T. S., Miyasato T., and Nakatsu R. Multimodal human emotion / expression recognition, in Proc. of Int. Conf. on Automatic Face and Gesture Recognition, (Nara, Japan), IEEE Computer Soc., April 1998
11. De Silva, L.C., Ng, P. C. Bimodal emotion recognition. Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on, 28- 30 March 2000. Pages: 332 - 335.
12. Pantic, M., Rothkrantz, L.J.M. Toward an affect-sensitive multimodal human-computer interaction. Proceedings of the IEEE , Volume: 91 Issue: 9 , Sept. 2003. Page(s): 1370 -1390.
13. Senlin Luo, Limin Pan. Affective Computing Theory and Technology. Systems Engineering and Electronics. Vol.25, No.7, 905-909, 2003. [in Chinese]
14. Palomba D, Sarlo M, Angrilli A, et al. Cardiac responses associated with affective processing of unpleasant film stimuli. International Journal of Psychophysiology, 2000, 36, 1:45-57
15. T.P.Jung and S.Makeig.Estimating Alertness from the EEG Power Spectrum. IEEE Trans BME, 44(1):60-69, 1997
16. B.S. Oken, S.S. Kishiyama, and M.C. Salinsky. Pharmacologically Induced Changes in Arousal: Effects on Behavioral and Electrophysiologic Measures of Alertness and Attention. Electrophysiology and clinical Neurophysiology, 95(5):359-371, 1995
17. S.F. Liang and C.T. Lin. Monitoring Driver's Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis. Proceedings of the 2005 IEEE Engineering in medicine and Biology Society, pages5738- 5741, 2005
18. A. Vuckovic and V.Radivojevic.Antomatic Recognition of Alertness and Drowsiness from EEG by an Artificial Neural Network. Medical Engineering and Physics, 24(5):349-360, 2002
19. G.Tononi and A. R. Mclntosh. Functional Clustering: Identifing Strongly Interactive Brain Regions in Neuroimaging Data. Neuroimage, 7:133-149, 1998
20. Yilin Lin, The speech signal-based emotion recognition research. South China University of Technology Doctoral Dissertation, 2006[in Chinese]
21. Isabelle G, Andre E. An Introduction to variable and feature selection. Journal of Machine Learning Research, 2003, 3: 1157-1182
22. Zhaoqi Bian, Zhangxue Gong. Pattern Recognition [M]. The second edition .Beijing: Tsinghua University Press, 2000. [in Chinese]
23. Jian Zhou. Based on rough sets and SVM speech emotion recognition. Journal of Southwest Jiaotong University, 2007. [in Chinese]
24. Weina Wang. Improved Fuzzy C-means clustering algorithm. Journal of Dalian Maritime University, 2007. [in Chinese]
25. Sheng Wang, A hidden Markov model-based speech emotion recognition. SCIENCE AND TECHNOLOGY INFORMATION .2010(28). [in Chinese]