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Publishing Language: Chinese

Motor Ability Assessment for Autistic Children Supported by Multiple Intelligent Perception Technologies

Xiao-Di LIU1Jing-Ying CHEN1Guang-Shuai WANG1Kun ZHANG1Ru-Jing ZHANG2
Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China 430079
School of Media and Technology, Liaocheng University, Liaocheng, Shandong, China 252059
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Abstract

Motor ability is crucial for the development of autistic children and serves as a key basis for early identification of their developmental disorder risks. In order to accurately and effectively evaluate the motor ability of autistic children, this paper developed an intelligent perception project by integrating multiple intelligent perception technologies including “touch screen technology + eye movement technology + OpenPose technology + DTW algorithm”. Taking six evaluation items from the fine motor subscale and gross motor subscale of the “Psychoeducational Profile - Third Edition” (PEP-3) for autistic children as references, descriptive analysis and consistency analysis were conducted based on comparative data. The results showed that the intelligent perception project can achieve precise evaluation and objective quantification of the abilities of autistic children, and its evaluation results were consistent with those of the PEP-3 scale assessment items. This verified the feasibility and effectiveness of the motor ability assessment for autistic children supported by multiple intelligent perception technologies. The research in this paper can provide a new technological path for constructing an intelligent and standardized child development assessment system, and also has important reference value for promoting the development of early screening and rehabilitation cause for special children.

CLC number: G40-057 Document code: A Article ID: 1009-8097(2026)04-0101-09

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Modern Educational Technology
Pages 101-109

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Cite this article:
LIU X-D, CHEN J-Y, WANG G-S, et al. Motor Ability Assessment for Autistic Children Supported by Multiple Intelligent Perception Technologies. Modern Educational Technology, 2026, 36(4): 101-109. https://doi.org/10.3969/j.issn.1009-8097.2026.04.011

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Received: 28 August 2025
Published: 01 April 2026
© The journal of Modern Educational Technology