Manuscript Number : CSEIT1831423
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.
T. Manivannan Facial Expression Analysis , Facial Animation Parameters, Fuzzy Network, Rule Extraction, Adaptation, BPA , Fuzzy Relational Mappings , Membership Function Publication Details Published in : Volume 3 | Issue 3 | March-April 2018 Article Preview
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
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