Computer Vision Tools for Low-Cost and Noninvasive Measurement of Autism-Related Behaviors in Infants
Joint Authors
Egger, Helen
Dawson, Geraldine
Papanikolopoulos, Nikolaos
Esler, Amy
Hashemi, Jordan
Tepper, Mariano
Morellas, Vassilios
Sapiro, Guillermo
Vallin Spina, Thiago
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-22
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Hashemi, Jordan& Tepper, Mariano& Vallin Spina, Thiago& Esler, Amy& Morellas, Vassilios& Sapiro, Guillermo…[et al.]. 2014. Computer Vision Tools for Low-Cost and Noninvasive Measurement of Autism-Related Behaviors in Infants. Autism Research and Treatment،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-509507
Modern Language Association (MLA)
Sapiro, Guillermo…[et al.]. Computer Vision Tools for Low-Cost and Noninvasive Measurement of Autism-Related Behaviors in Infants. Autism Research and Treatment No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-509507
American Medical Association (AMA)
Hashemi, Jordan& Tepper, Mariano& Vallin Spina, Thiago& Esler, Amy& Morellas, Vassilios& Sapiro, Guillermo…[et al.]. Computer Vision Tools for Low-Cost and Noninvasive Measurement of Autism-Related Behaviors in Infants. Autism Research and Treatment. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-509507
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509507