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.

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

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Published

2018-02-28

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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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, IInternational 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.