Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants.
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2014
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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.
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Hashemi, Jordan, Mariano Tepper, Thiago Vallin Spina, Amy Esler, Vassilios Morellas, Nikolaos Papanikolopoulos, Helen Egger, Geraldine Dawson, et al. (2014). Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants. Autism Res Treat, 2014. p. 935686. 10.1155/2014/935686 Retrieved from https://hdl.handle.net/10161/9547.
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Geraldine Dawson
Geraldine Dawson is the William Cleland Distinguished Professor of Psychiatry and Behavioral Sciences at Duke University, where she also is a Professor of Pediatrics and Psychology & Neuroscience. Dawson also is the Founding Director of the Duke Center for Autism and Brain Development, an NIH Autism Center of Excellence, which is an interdisciplinary research program and clinic, aimed to improve the lives of those diagnosed with autism through research, education, clinical services, and policy. Dawson received a Ph.D. in Developmental and Child Clinical Psychology from the University of Washington and completed a clinical internship at the UCLA Neuropsychiatric Institute.
Dawson's work focuses on improving methods for early detection and intervention for autism, understanding brain function in autism, and validation of autism EEG biomarkers. She co-developed the Early Start Denver Model, an empirically-validated early autism intervention that is used worldwide. She collaborates with colleagues in the departments of computer science and engineering, pediatrics, and biostatistics to develop novel digital health approaches to autism screening and outcome monitoring.
Dawson previously served as Director of the Duke Institute for Brain Sciences, President of the International Society for Autism Research, and was appointed by the US Secretary of Health as a member of the NIH Interagency Autism Coordinating Committee (IACC) which develops the federal strategic plan for autism research, services, and policy. Dawson is a member of the American Academy of Arts and Sciences. She was Founding Director of the University of Washington (UW) Autism Center and the Duke Center for Autism and Brain Development. Dawson's awards include the American Psychological Association Distinguished Career Award (Div53); Association for Psychological Science Lifetime Achievement Award; Clarivate Top 1% Cited Researcher Across All Scientific Fields; among others. Dawson is a Fellow of the International Society for Autism Research, the American Psychological Society, and the American Psychological Association.
Guillermo Sapiro
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 McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently he is the Edmund T. Pratt, Jr. School Professor with Duke University.
G. Sapiro works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored and co-authored over 300 papers in these areas and has written a book published by Cambridge University Press, January 2001.
G. Sapiro was awarded the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991, the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992, the Rothschild Fellowship for Post-Doctoral Studies in 1993, the Office of Naval Research Young Investigator Award in 1998, the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the National Science Foundation Career Award in 1999, and the National Security Science and Engineering Faculty Fellowship in 2010. He received the test of time award at ICCV 2011. He was elected to the American Academy of Arts and Sciences on 2018.
G. Sapiro is a Fellow of IEEE and SIAM.
G. Sapiro was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences.
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