RecruitingNCT07597356

Development and Validation of an Artificial Intelligence-Based System for Assessing Motor Development in Children Using Video Analysis

Sponsor: Medipol University

Trial Details

Condition	Motor Development Assessment, Artificial Intelligence-Based Movement Analysis
Intervention	Observational Assessment Only
Status	Recruiting
Participants	60
Est. Completion	1 Aug 2026
Last Updated	19 May 2026

Primary Outcome

AI-Based Classification Accuracy of Motor Development

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Children aged between 5 and 10 years * No diagnosed neurological, developmental, or orthopedic disorders * Ability to follow verbal instructions * Informed consent obtained from parents or legal guardians * No prior participation in sensory integration therapy or special education programs Exclusion Criteria: * Diagnosed neurological, developmental, or orthopedic conditions (e.g., autism spectrum disorder, cerebral palsy, epilepsy) * Visual or hearing impairments affecting task performance * Severe attention or behavioral problems preventing test completion * Physical limitations preventing participation in motor tasks

Trial Sites

Countries

Turkey (Türkiye)

View Registry Entry

Related Analysis

Novel AI Video Analysis System for Paediatric Motor Development Assessment Enters Validation Study — Implications for Digital Screening

Turkish researchers are validating an AI-powered video analysis system that could revolutionise motor development screening in children aged 5-10 years. The study compares AI classifications with gold-standard BOT-2 assessments, potentially enabling remote motor development evaluation.

Read full article →

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