Publicación:
Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
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Fecha
2017
Autores
Vargas-Cuentas, NI
Roman-Gonzalez, A
Gilman, RH
Barrientos, F
Ting, J
Hidalgo, D
Jensen, K
Zimic, M
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PLoS ONE
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Abstracto
Autism spectrum disorder (ASD) currently affects nearly 1 in 160 children worldwide. In over two-thirds of evaluations, no validated diagnostics are used and gold standard diagnostic tools are used in less than 5% of evaluations. Currently, the diagnosis of ASD requires lengthy and expensive tests, in addition to clinical confirmation. Therefore, fast, cheap, portable, and easy-to-administer screening instruments for ASD are required. Several studies have shown that children with ASD have a lower preference for social scenes compared with children without ASD. Based on this, eye-tracking and measurement of gaze preference for social scenes has been used as a screening tool for ASD. Currently available eye-tracking software requires intensive calibration, training, or holding of the head to prevent interference with gaze recognition limiting its use in children with ASD.
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Palabras clave
Diagnostico,
Algoritmo,
Autismo