Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants.
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The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated which promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests that behavioral signs can be observed late in the first year of life. Many of these studies involve extensive frame-by-frame video observation and analysis of a child's natural behavior. Although nonintrusive, these methods are extremely time-intensive and require a high level of observer training; thus, they are burdensome for clinical and large population research purposes. This work is a first milestone in a long-term project on non-invasive early observation of children in order to aid in risk detection and research of neurodevelopmental disorders. We focus on providing low-cost computer vision tools to measure and identify ASD behavioral signs based on components of the Autism Observation Scale for Infants (AOSI). In particular, we develop algorithms to measure responses to general ASD risk assessment tasks and activities outlined by the AOSI which assess visual attention by tracking facial features. We show results, including comparisons with expert and nonexpert clinicians, which demonstrate that the proposed computer vision tools can capture critical behavioral observations and potentially augment the clinician's behavioral observations obtained from real in-clinic assessments.
Published Version (Please cite this version)10.1155/2014/935686
Publication InfoHashemi, Jordan; Tepper, Mariano; Vallin Spina, Thiago; Esler, Amy; Morellas, Vassilios; Papanikolopoulos, Nikolaos; ... Sapiro, Guillermo (2014). Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants. Autism Res Treat, 2014. pp. 935686. 10.1155/2014/935686. Retrieved from https://hdl.handle.net/10161/9547.
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William Cleland Distinguished Professor
Geraldine Dawson is the William Cleland Distinguished Professor of Psychiatry and Behavioral Sciences at Duke University, where she also is Professor of Pediatrics and Psychology & Neuroscience. Dawson is the Director of the Duke Institute for Brain Sciences whose mission is to promote interdisciplinary brain science and translate discoveries into solutions for health and society. Dawson also is Director of the Duke Center for Autism and Brain Development, an NIH Autism Center
James B. Duke Distinguished Professor of Electrical and Computer Engineering
Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively. After post-doctoral research at MIT, Dr. Sapiro became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California. He was with the Department of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKni
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