Facial gesture recognition using two-channel bio-sensors configuration and fuzzy classifier: A pilot study

InECCE 2011 - International Conference on Electrical, Control and Computer Engineering

Volumn , Issue , 2011, Pages 338-343

  Hamedi, Mahyar ^a,b   Mohammad Rezazadeh, Iman ^a   Firoozabadi, Mohammad ^a,c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^c TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Facial gesture recognition; Fuzzy C Means (FCM); SEMG

Indexed keywords

AUTOMATIC RECOGNITION; ELECTRICAL POTENTIAL; FACIAL GESTURE RECOGNITION; FACIAL GESTURES; FACIAL MUSCLES; FUZZY C-MEANS; FUZZY CLASSIFIERS; HUMAN MACHINE INTERFACE; INDUSTRIAL FIELDS; PILOT STUDIES; RECOGNITION RATIO; RECORDED SIGNALS; SEMG; SURFACE ELECTROMYOGRAPHY; THRESHOLDING; TWO-CHANNEL;

BIOSENSORS; FEATURE EXTRACTION; FUZZY CLUSTERING; FUZZY SYSTEMS; HUMAN COMPUTER INTERACTION; MAN MACHINE SYSTEMS;

GESTURE RECOGNITION;

EID: 80051645083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INECCE.2011.5953903     Document Type: Conference Paper

References (24)

1. L.B.P. Ang, E.F. Belen, R.A. Bernardo, E.R. Boongaling, G.H. Briones, and J.B.Coronel, "Facial expression recognition through pattern analysis of facial muscle movements utilizing electromyogram sensors", 2004 IEEE Region 10 Conference, volume C. In TENCON 2004., pages 600{603 Vol. 3, 2004. [cited at p. 9]
2. J. Buenaposada, E. Mu nez, and L. Baumela, "Recognising facial expressions in video sequences", Pattern Analysis & Applications, 2008, 11:101{116, [cited at p. 9]
3. Shiro Kumano, Kazuhiro Otsuka, Junji Yamato, Eisaku Maeda, and Yoichi Sato, "Pose-Invariant Facial Expression Recognition Using Variable-Intensity Templates", 2007. pages 324{334. [cited at p. 9]
4. M. Pantic and L.J.M. Rothkrantz, "Toward an a-ect-sensitive multimodal humancomputer interaction", Proceedings of the IEEE 2003, 91:1370{1390, [cited at p. 9, 11].
5. th , ICBME2008. Pages 272-277.
6. th International Conference on Construction Applications of Virtual Reality, Nov 5-6, 2009 .
7. M. Rosenblum, Y. Yacoob, and L. S. Davis, "Human expression recognition from motion using radial basis function network architecture". IEEE Trans. on Neural Networks, 7(5):1121-1138, September 1996. (Pubitemid 126776385)
8. Andreas Haag, Silke Goronzy, Peter Schaich, Jason Williams, "Emotion recognition using bio-sensors: First steps towards an automatic system", Sony Corporate Laboratories Europe. Lecture notes in computer science ISSN 0302-9743. Springer, Berlin, ALLEMAGNE 2004.
9. B. Hudgins, P. Parker, R. Scott, "A new Strategy for multifunction myoelectric control", IEEE Trans. Biomed. Eng. 40 (1) 1993, 82-94. (Pubitemid 24060692)
10. J. S. Han, Z. Z. Bien, D. J. Kim, H. E. Lee, and J. S. Kim, "Human-Machine Interface for wheelchair control with EMG and its Evaluation", Proceedings of 25th IEEE International Conference on Engineering in Medicine and Biology Society, Cancun, Mexico, September 2003, Page 1602-1605.
11. J. Zhao, Z. Xie, L. Jiang, H. Cai, H. Lio, G. Hirzinger, "EMG control for a five-fingered interactuated prosthetic hand based on wavelet transform and sample entropy", in: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, China, October 2006, pp. 3215-3220.
12. N. Chaiyaratanal, A.M.S. Zalzala, D. Datta, "Myoelectric signals pattern recognition for intelligent functional operation of upper-limb prosthesis", in: Proceedings of the First Euro Conference Disability, Virtual Reality & Associated Technology, Maidenhead, UK, ECDVRAT and University of Reading, UK, 1996, pp. 151-160, ISBN 0 7049 1140 X.
13. E. Lamounier, A. Soares, A. Andrade, R. Carrijo, "A virtual prosthesis control based on neural networks for EMG pattern classification" , in: Proceedings of the Artificial Intelligence and Soft Computing, Canada, 2002.
14. Lennart Boot, "facial expression in EMG/EEG recordings" , Master of Science Thesis 2008/2009.
15. Thought Technology Ltd, "The Basics of Surface Electromyography Applied to Physical Rehabilitation and Biomechanics". Document Number MAR908. Montreal, Canada 2009.
16. Yücel Koçyiǧit and Mehmet Korürek, "EMG Signal Classification Using Wavelet Transform and fuzzy Clustering Algorithms", Ayazaga, Istanbul, Turkey 2001.
17. M. Asghari Oskoei and H. Hu, "Myoelectric Control Systems-A Survey", Biomedical Signal Processing and Control (Elsevier), Vol. 2, Issue 4, October 2007, doi:10.1016/j.bspc.2007.07.009, pp. 275-294.
18. F.H.Y. Chan, Y.S. Yang, F.K. Lam, Y.T. Zhang, and P.A. Parker. "Fuzzy EMG Classification for Prosthesis Control", IEEE 2000 Trans. Rehabilitation Eng., volume 8, pages 305-311.
19. Li-Xin Wang, "A Course in Fuzzy Systems and Control", (Prentice Hall, Inc.) Upper Saddle River, NJ 07458; 1997:342-353.
20. R. Krishnapuram and J. M. Keller, "Correspondence: The Possibilistic C-Means Algorithm: Insights and Recommendations". IEEE 1996 Transactions on Fuzzy Systems, volume 4, pages 385-393.
21. A. van Dam, "Beyond WIMP", IEEE Computer Graphics and Applications, Vol. 20, No. 1, pp. 50-51, 2000.
22. Sinha, R., and Parsons, O.A. 1996. 'Multivariate response patterning of fear'. Conference on Cognition and Emotion 10(2), pp. 173-198.
23. Egon L. van den Broek, Viliam Liśy, Joyce H. D. M. Westerink,and Marleen H. Schut, and Kees Tuinenbreijer. 2010. 'Affective Man-Machine Interface: Unveiling human emotions through biosignals'. Biomedical Engineering Systems and Technologies. Communications in Computer and Information Science, 52 (Part 1). Springer Verlag, Berlin 2010, pp. 21-47.
24. I. Mohammad Rezazadeh, X. Wang, M. Firoozabadi, M.R. Hashemi Golpayegani, 'Úsing affective human machine interface to increase the operation performance in virtual construction crane training system: A novel approach', Journal of Automation in Construction 20 (2010), pp. 289-298.