%0 Journal Article
%T FACIAL FEATURES EXTRACTION USING SKIN COLOR SEGMENTATION FOR FACIAL EXPRESSIONS DETECTION
%A Surbhi Bhatta
%J International Journal of Chemical Sciences and Research
%D 2011
%I 
%X Computer has been widely deployed to our daily lives, but human computer interaction still lacks intuition. Researchers intend to resolve these shortcomings by augmenting traditional systems with human like interaction mechanism. Dedicated hardware often infers the emotional state from human body measures. These have been a considerable amount of research done into the detection and implicit communication channels, including the study of facial feature extraction. [5] Artificial recognition of facial features has attracted a lot of attention due to its potential commercial value in fields like Lie detection, Surveillance, Criminal Investigation, Security and Forensic applications. Facial feature extraction can be utilized for automated analysis of human emotion. Communication between humans is influenced by emotion. Interpersonal behavior is affected by facial expressions during communication. Recent approaches for facial expression detection is Feature Based Method by Black and Yacoob (1997). The feature based approach uses a training set of images for different emotional expressions. The features are extracted from each emotion subset for all facial expressions and then are subsequently tested unseen facial images. Feature based technique involves detecting changes of the features in different facial regions. The selection of these facial regions is based on the Facial Action Coding System (FACS). [9].
%K Thresholding
%K Skin Color Segmentation
%K normalization
%K interpretation
%K Facial Action Coding system (FACS)
%K Affine transformation
%U http://www.ijcsr.co.in/Documents/Volumes/Vol%20I%20issue%206/ijcsr%2020110106(1)%20rev.pdf