AI-Based Video Analysis for Motor Development Assessment in Children

NCT07597356 | Recruiting

• 1 other identifier: AMD-2026-01
• Study Type: observational
• Target: 60
• Locations: 1 country
• Sites: 1

Brief Summary

This is a non-interventional, prospective observational study aimed at developing and validating an artificial intelligence-based system for assessing motor development in children using video analysis. Children aged 5 to 10 years will perform standardized motor tasks, which will be recorded under controlled conditions. The recorded videos will be analyzed using computer vision and deep learning techniques to extract movement patterns. The results of the AI-based analysis will be compared with standardized motor assessment scores obtained from the Bruininks-Oseretsky Test of Motor Proficiency, Second Edition - Short Form (BOT-2 SF). Participants will be classified into typical and atypical motor development groups based on BOT-2 scores. The primary objective is to evaluate the classification performance of the AI model. Secondary analyses will examine the relationship between AI predictions and continuous motor performance scores. The study is designed to explore whether motor development can be assessed objectively without direct clinical testing, using only short video recordings. The findings may contribute to the development of scalable and accessible digital screening tools for early identification of motor development differences in children.

Conditions

Motor Development Assessment; Artificial Intelligence-Based Movement Analysis

Keywords

Motor Development; Video Analysis; Artificial Intelligence; Deep Learning

Outcome Measures

Primary Outcomes (1)

• AI-Based Classification Accuracy of Motor Development

  Classification accuracy of the artificial intelligence model in distinguishing typical versus atypical motor development based on video analysis, using the Bruininks-Oseretsky Test of Motor Proficiency, Second Edition Short Form (BOT-2 SF) total score as the reference standard. BOT-2 SF scores range from 0 to 88, with higher scores indicating better motor proficiency.

  Baseline assessment (Day 1)

Secondary Outcomes (4)

• Correlation Between AI Predictions and BOT-2 Scores

  Baseline assessment (Day 1)

• Mean Absolute Error of AI-Based Motor Score Prediction

  Baseline assessment (Day 1)

• Root Mean Square Error of AI-Based Motor Score Prediction

  Baseline assessment (Day 1)

• R-Squared Performance of AI-Based Motor Score Prediction

  Baseline assessment (Day 1)

Study Arms (1)

Typical Motor Development

Children classified as having typical motor development based on BOT-2 scores. This group represents the control group for comparison with atypical motor development profiles.

Other: Observational Assessment Only

Interventions

Observational Assessment Only OTHER

This study does not include any therapeutic or experimental intervention. The procedures are limited to observational assessment and data collection. Participants perform standardized motor tasks and are video recorded under controlled conditions. No treatment, training, or behavioral modification is applied. The collected data are analyzed using artificial intelligence-based methods to evaluate motor development patterns.

Typical Motor Development

Eligibility Criteria

• Age: 5 Years - 10 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17)
• Sampling Method: Non-Probability Sample

Study Population

The study population consists of children aged 5 to 10 years recruited from schools and clinical settings. All participants are typically developing individuals without prior diagnoses, and they are evaluated to identify variations in motor development patterns using standardized testing and video-based analysis.

You may qualify if:

• 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

You may not qualify if:

• 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

Sponsors & Collaborators

• Medipol University: lead

Study Sites (1)

Istanbul Medipol University

Istanbul, Beykoz, 34820, Turkey (Türkiye)

RECRUITING

Related Publications (1)

• Deitz JC, Kartin D, Kopp K. Review of the Bruininks-Oseretsky Test of Motor Proficiency, Second Edition (BOT-2). Phys Occup Ther Pediatr. 2007;27(4):87-102.

  PMID: 18032151 BACKGROUND

Related Links

• Related Info

Central Study Contacts

Abdullah Furkan Cangi, Msc

CONTACT

+90 553 622 7898; abdullah.cangi@medipol.edu.tr

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Lecturer in Occupational Therapy

Study Record Dates

• First Submitted: April 29, 2026
• First Posted: May 19, 2026
• Study Start: January 1, 2026
• Primary Completion (Estimated): August 1, 2026
• Study Completion (Estimated): September 1, 2026
• Last Updated: May 19, 2026

Record last verified: 2026-05

Locations

TU (1)