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Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants.

Publication ,  Journal Article
Hashemi, J; Tepper, M; Vallin Spina, T; Esler, A; Morellas, V; Papanikolopoulos, N; Egger, H; Dawson, G; Sapiro, G
Published in: Autism Res Treat
2014

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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Published In

Autism Res Treat

DOI

ISSN

2090-1925

Publication Date

2014

Volume

2014

Start / End Page

935686

Location

Egypt
 

Citation

APA
Chicago
ICMJE
MLA
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Hashemi, J., Tepper, M., Vallin Spina, T., Esler, A., Morellas, V., Papanikolopoulos, N., … Sapiro, G. (2014). Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants. Autism Res Treat, 2014, 935686. https://doi.org/10.1155/2014/935686
Hashemi, Jordan, Mariano Tepper, Thiago Vallin Spina, Amy Esler, Vassilios Morellas, Nikolaos Papanikolopoulos, Helen Egger, Geraldine Dawson, and Guillermo Sapiro. “Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants.Autism Res Treat 2014 (2014): 935686. https://doi.org/10.1155/2014/935686.
Hashemi J, Tepper M, Vallin Spina T, Esler A, Morellas V, Papanikolopoulos N, et al. Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants. Autism Res Treat. 2014;2014:935686.
Hashemi, Jordan, et al. “Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants.Autism Res Treat, vol. 2014, 2014, p. 935686. Pubmed, doi:10.1155/2014/935686.
Hashemi J, Tepper M, Vallin Spina T, Esler A, Morellas V, Papanikolopoulos N, Egger H, Dawson G, Sapiro G. Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants. Autism Res Treat. 2014;2014:935686.
Journal cover image

Published In

Autism Res Treat

DOI

ISSN

2090-1925

Publication Date

2014

Volume

2014

Start / End Page

935686

Location

Egypt