Authors:
M. Usman Akram
;
Irfan Zafar
;
Wasim Siddique Khan
and
Zohaib Mushtaq
Affiliation:
EME College, NUST, Pakistan
Keyword(s):
Human Computer Interaction (HCI), Mamdani-type, Region Extraction, Feature Extraction.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
Statistical Approach
Abstract:
We present a novel scheme for facial expression recognition from facial features using Mamdani-type fuzzy system. Facial expression recognition is of prime importance in human-computer interaction systems (HCI). HCI has gained importance in web information systems and e-commerce and certainly has the potential to reshape the IT landscape towards value driven perspectives. We present a novel algorithm for facial region extraction from static image. These extracted facial regions are used for facial feature extraction. Facial features are fed to a Mamdani-type fuzzy rule based system for facial expression recognition. Linguistic models employed for facial features provide an additional insight into how the rules combine to form the ultimate expression output. Another distinct feature of our system is the membership function model of expression output which is based on different psychological studies and surveys. The validation of the model is further supported by the high expression re
cognition percentage.
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