Abstract

Children with Autism Spectrum Disorder (ASD) are known to have difficulty in producing and perceiving emotional facial expressions. Their expressions are often perceived as atypical by adult observers. This paper focuses on data driven ways to analyze and quantify atypicality in facial expressions of children with ASD. Our objective is to uncover those characteristics of facial gestures that induce the sense of perceived atypicality in observers. Using a carefully collected motion capture database, facial expressions of children with and without ASD are compared within six basic emotion categories employing methods from information theory, time-series modeling and statistical analysis. Our experiments show that children with ASD exhibit lower complexity in facial dynamics, with the eye regions contributing more than other facial regions towards the differences between children with and without ASD. Our study also …

Date

2015

Authors

Tanaya Guha, Zhaojun Yang, Anil Ramakrishna, Ruth B Grossman, Darren Hedley, Sungbok Lee, Shrikanth S Narayanan

Conference

2015 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Pages

803-807

Publisher

IEEE