Quantifying the social symptoms of autism using motion capture
| Autor: | Allison Langer, Michal Ilan, Gal Meiri, Analya Michaelovski, Opher Donchin, Ilan Dinstein, Doron Reboh, Michal Faroy, Idan Menashe, Ian Budman, Hagit Flusser |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Change over time Male Autism Spectrum Disorder Motion Pictures Video Recording Clinical exam lcsh:Medicine Child Behavior macromolecular substances Motion capture Article 03 medical and health sciences Mice 0302 clinical medicine Kinesics Human behaviour medicine Image Processing Computer-Assisted Animals Humans lcsh:Science Child Social Behavior Multidisciplinary lcsh:R Diagnostic markers Variance (accounting) Professional-Patient Relations medicine.disease Disease Models Animal 030104 developmental biology Free play Autism spectrum disorder Child Preschool Autism lcsh:Q Female Symptom Assessment Psychology 030217 neurology & neurosurgery Clinical psychology |
| Zdroj: | Scientific Reports Scientific Reports, Vol 9, Iss 1, Pp 1-8 (2019) |
| ISSN: | 2045-2322 |
| Popis: | Autism Spectrum Disorder (ASD) is a remarkably heterogeneous condition where individuals exhibit a variety of symptoms at different levels of severity. Quantifying the severity of specific symptoms is difficult, because it either requires long assessments or observations of the ASD individual, or reliance on care-giver questionnaires, which can be subjective. Here we present a new technique for objectively quantifying the severity of several core social ASD symptoms using a motion capture system installed in a clinical exam room. We present several measures of child-clinician interaction, which include the distance between them, the proportion of time that the child approached or avoided the clinician, and the direction that the child faced in relation to the clinician. Together, these measures explained ~30% of the variance in ADOS scores, when using only ~5 minute segments of “free play” from the recorded ADOS assessments. These results demonstrate the utility of motion capture for aiding researchers and clinicians in the assessment of ASD social symptoms. Further development of this technology and appropriate motion capture measures for use in kindergartens and at home is likely to yield valuable information that will aid in quantifying the initial severity of core ASD symptoms and their change over time. |
| Databáze: | OpenAIRE |
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