Title
Emotion mirror: a novel intervention for autism based on real-time expression recognition
Abstract
Facial expression perception and production are crucial for social functioning. Children with autism spectrum disorders (ASD) are impaired in their ability to produce and perceive dynamic facial expressions, which may contribute to social deficits. Here we present a novel intervention system for improving facial expression perception and production in children with ASD based on computer vision. We present a live demo of the Emotion Mirror, a game where the children make facial expressions of basic emotions (anger, disgust, fear, happiness, sadness, and surprise) that are "mirrored" by a cartoon character on the screen who responds dynamically in real-time. In the reverse mirror condition, the character makes an expression and children are rewarded when they successfully copy the expression of the character. This application demonstrates a novel intersection of computer vision and medicine enabled by real-time facial expression processing.
Year
DOI
Venue
2012
10.1007/978-3-642-33885-4_79
ECCV Workshops (3)
Keywords
Field
DocType
emotion mirror,real-time expression recognition,social deficit,novel intervention system,novel intersection,computer vision,facial expression perception,social functioning,facial expression,real-time facial expression processing,dynamic facial expression,cartoon character
Autism,Computer vision,Sadness,Disgust,Computer science,Cognitive psychology,Emotion classification,Facial expression,Artificial intelligence,Happiness,Anger,Surprise
Conference
Volume
ISSN
Citations 
7585
0302-9743
9
PageRank 
References 
Authors
0.64
2
4
Name
Order
Citations
PageRank
David Deriso190.64
Joshua Susskind21949.68
Lauren Krieger390.64
Marian Stewart Bartlett422311.41