Analyzing the Pain Through Facial Expression

Authors

  • T. Manivannan  Assistant Professor, Department Computer Science, Edyathangudy G. S. Pillay Arts and Science College, Nagapattinam, Tamil Nadu, India
  • K. Chandrasekar  Assistant Professor, Department Computer Science, Edyathangudy G. S. Pillay Arts and Science College, Nagapattinam, Tamil Nadu, India
  • V. Pradeeba  Assistant Professor, Department Computer Science, Edyathangudy G. S. Pillay Arts and Science College, Nagapattinam, Tamil Nadu, India
  • M. Kabilan  Assistant Professor, Department Computer Science, Edyathangudy G. S. Pillay Arts and Science College, Nagapattinam, Tamil Nadu, India
  • S. Manivannan  Assistant Professor, Department Computer Science, Edyathangudy G. S. Pillay Arts and Science College, Nagapattinam, Tamil Nadu, India

Keywords:

Facial Expression Analysis , Facial Animation Parameters, Fuzzy Network, Rule Extraction, Adaptation, BPA , Fuzzy Relational Mappings , Membership Function

Abstract

In the present paper classify among different type of soreness by extraction of appropriate facial features and consequent recognition that can be robust to facial expression variations among different samples. Facial features and expressions are critical .Extracting and validating emotional cues through fuzzy analysis concentrate on facial expressions provides key importance for improving the level of interaction of man and machine. A novel fuzzy system is then created, which is based on rules that have been defined through analysis of FAP variations both at the discrete emotional space, for continuous activation assessment.

References

  1. Veteran's Administration, Professional services Letter: Professional Qualifications for Performing Electromyographic Examinations, IL- 11- 80- 1, January 4, 1980.
  2. American Academy of Neurology, Minutes of Executive Board Meeting 11.9(1), December 2, 1981.
  3. American Academy of Physical Medicine and Rehabilitation, Statement re: Clinical Diagnostic Electromyography, November 1983
  4. R Merletti, D Biey, M Biey, G Prato & a Orusa, online monitoring of the median frequency of the EMG power spectrum, IEEE, Trans on BME, vol 32, no 1, pp 1-7, 1985.
  5. G F Inbar & A E Noujaim, On surface EMG spectral characterization, and its application to diagnostic classification, IEEE Trans on BMP, vol 31, pp 597-604, 1984.
  6. A Magora, F Sagher, J Chacoand & E Adler, an electrodiagnostic study of the lower motor unit in leprosy, International journal of Leprosy, vol 33, pp 829-863, 1965.
  7. Bennetd, Diseases of the bible, London, 1887.
  8. Dyen, Leprosy, New York, 1897.
  9. Hansen & Looft, Leprosy in its Clinical and Pathological Aspects, London, 1895 & Report of the Leprosy Commission to India London, 1893.
  10. Thin, Leprosy, London, 1891.
  11. Bartholinus, de morbis biblicis, Copenhagen 1671.
  12. C K Job, Hansen’s disease vaccine- A puzzle, Leprosy in India, vol 55, no 1, 1983.
  13. Veteran’s Administration, Professional services Letter: Professional Qualifications for Performing Electromyographic Examinations, IL- 11- 80- 1, January 4, 1980.
  14. American Academy of Neurology, Minutes of Executive Board Meeting 11.9(1), December 2, 1981.
  15. American Academy of Physical Medicine and Rehabilitation, Statement re: Clinical Diagnostic Electromyography, November 1983
  16. R Merletti, D Biey, M Biey, G Prato & a Orusa, online monitoring of the median frequency of the EMG power spectrum, IEEE, Trans on BME, vol 32, no 1, pp 1-7, 1985.
  17. G F Inbar & A E Noujaim, On surface EMG spectral characterization, and its application to diagnostic classification, IEEE Trans on BMP, vol 31, pp 597-604, 1984.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2018-02-28

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
T. Manivannan, K. Chandrasekar, V. Pradeeba, M. Kabilan, S. Manivannan, " Analyzing the Pain Through Facial Expression" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.81-84, March-April-2018.