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Motion-based technology to support motor skills screening in developing children: A scoping review
Benoit Bossavit1, Inmaculada Arnedillo-Sánchez2
1School of Computer Science & Statistics, Trinity College Dublin, Ireland; School of Computer Science & Programming Languages, Universidad de Málaga, Spain.
Computer Methods and Programs in Biomedicine
|July 30, 2023
Summary
Motion-based technology (MBT) can aid early motor skill screening in children, but current methods detect only half of typical motor skills. Further research into multimodal sensor approaches is needed to improve developmental assessments.
Area of Science:
- Pediatric Development
- Biomedical Engineering
- Motor Control
Background:
- Motor skill acquisition is crucial for children's cognitive development.
- Early detection of motor development delays is often limited.
- Motion-based technology (MBT) offers potential for improved motor screening.
Purpose of the Study:
- To review the use and potential of MBT in supporting and increasing access to motor screening for developing children.
- To identify current applications and limitations of MBT in pediatric motor assessment.
Main Methods:
- A systematic literature search was conducted across six databases following PRISMA guidelines.
- Studies involving MBT recognizing children's motor skill execution were selected and assessed.
- Analysis focused on MBT types, detected motor skills, application purposes, and target age groups.
Main Results:
- 164 studies were analyzed to understand MBT applications in motor skill detection.
- Depth sensors are the most common MBT, effective for children aged 2 and above.
- Current MBT covers approximately 50% of motor skills typically assessed for developmental screening.
Conclusions:
- A significant gap exists in integrating MBT into standard motor skill development screening and assessment.
- Existing MBT primarily utilizes depth sensors, with limitations in the scope of detected motor skills.
- Multimodal sensor approaches are recommended to enhance health professionals' capabilities and expand early detection programs.

