Analyzing the Pain Through Facial Expression

Authors(5) :-T. Manivannan, K. Chandrasekar, V. Pradeeba, M. Kabilan, S. Manivannan

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.

Authors and Affiliations

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

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

  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.

Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 81-84
Manuscript Number : CSEIT1831423
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

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
URL : http://ijsrcseit.com/CSEIT1831423

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