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Technological innovations for assessing motor impairments in autism spectrum disorder

Aditi Gandotra – Department of Personality and Health Psychology, Eötvös Loránd University; and Department of Affective Psychology, Eötvös Loránd University, Budapest, Hungary [ORCID: https://orcid.org/0000-0003-1167-0395]
Renata Cserjesi – Department of Affective Psychology, Eötvös Loránd University and Institute of
Psychology, ELTE Eötvös Loránd University, Budapest, Hungary [ORCID: https://orcid.org/0000-0001-9369-7334]

Abstract
There is an increasing demand for the identification of biomarkers and symptoms associated with Autism spectrum disorder (ASD) to enable its early detection. Substantial evidence indicates that individuals with ASD often experience motor skills impairments encompassing challenges with gross motor skills, fine motor skills, and gait-related issues. Nevertheless, conventional assessment methods for evaluating these motor skill deficits have proven ineffective for assessing children with ASD for various reasons. In view of this, the present chapter focuses on elucidating the utilization of technology-assisted approaches in the early detection of ASD. Research has demonstrated that wearable devices, video analysis, and sophisticated algorithms can deliver objective measurements, facilitate early intervention, and empower individuals with ASD. These findings highlight that technology possesses the potential to revolutionize the early detection and management of ASD, ultimately improving the quality of life for those affected by the disorder.

Keywords: Technological Innovations; Motor Impairments; Autism Spectrum Disorder; Early Detection; Wearable Devices.

Cite as: Gandotra, A., & Cserjesi, R. (2023). Technological innovations for assessing motor impairments in autism spectrum disorder. In C. Sousa, & A.H. Tkaczyk (Eds.), Media Literacy and Assistive Technologies for Empowerment in Autism (pp. 121-129). Edições Universitárias Lusófonas. https://www.doi.org/10.24140/asdigital.v1.p02.06

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Reference: 2022.07939.PTDC