Automatic Assessment of Motor Impairments in Autism Spectrum Disorders: A Systematic Review
نویسندگان
چکیده
Autism spectrum disorder (ASD) is mainly described as a of communication and socialization. However, motor abnormalities are also common in ASD. New technologies may offer quantitative automatic metrics to measure movement difficulties. We sought identify computational methods automatize the assessment impairments systematically searched for terms ’autism’, ’movement’, ’automatic’, ’computational’ ’engineering’ IEEE (Institute Electrical Electronics Engineers), Medline Scopus databases reviewed literature from inception 2018. included all articles discussing: (1) assessment/new technologies, (2) behaviours (3) children with excluded studies that patient’s or parent’s reported outcomes online questionnaires focused on models movement, but eye tracking, facial emotion sleep. In total, we found 53 relevant explored static kinetic equilibrium, like posture, walking, fine skills, synchrony movements during social interaction can be impaired individuals autism. Several devices were used capture information such cameras, 3D motion systems, accelerometers. Interestingly, since 2012, number increased dramatically became less invasive, more precise affordable. Open-source software has enabled extraction data. few cases, these have been implemented serious games, “Pictogram Room”, status progress Movement computing opens new perspectives patient ASD research, enabling characterizations experimental at-home settings, better understanding role sensorimotor disturbances development cognition These would likely enable researchers clinicians distinguish other motors disorders while facilitating an improved monitoring children’s ecological settings (i.e. at home school).
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ژورنال
عنوان ژورنال: Cognitive Computation
سال: 2022
ISSN: ['1866-9964', '1866-9956']
DOI: https://doi.org/10.1007/s12559-021-09940-8