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Facial Emotions Based PC Access for The Benefit of Autistic People

Author(s):

K. Ganesh Kumar , Saveetha School of engineering, Saveetha University; R. Arvind, Saveetha School of engineering, Saveetha University; M. Aravind, Saveetha School of engineering, Saveetha University; S. Karthikeyan, Saveetha School of engineering, Saveetha University; P. Dass, Saveetha School of engineering, Saveetha University

Keywords:

Autism Spectrum Disorder (ASD), Facial Emotion Recognition (FER), Features Extraction, PC Access, Sobel Filtering, Weber Law Detector (WLD)

Abstract

Face recognition refers to an individual's understanding and interpretation of the human face especially in relation to the associated information processing in the brain. Autism Spectrum Disorder (ASD) is a comprehensive neural developmental disorder that produces many deficits including social, communicative and perceptual. Individuals with autism exhibit difficulties in various aspects of facial perception, including facial identity recognition and recognition of emotional expressions. Autism Spectrum Disorders (ASD) are characterized by atypical patterns of behaviors and impairments in social communication. Traditional intervention approaches often require intensive support and well-trained therapists to address core deficits. People with ASD have tremendous difficulty accessing such care due to lack of available trained therapists as well as intervention costs. Thus a Human Facial Emotions based image processing system is to be developed which processes autistic people’s expressions and enables them to access PC applications based on their expressions.

Other Details

Paper ID: IJSRDV2I7182
Published in: Volume : 2, Issue : 7
Publication Date: 01/10/2014
Page(s): 664-667

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