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Video-Based Motion Capture Smartphone Apps for Testing Human Motor Performance Skills: Scoping Review
Clara Sophia Zoeller1, Claudia Niessner1, Manuel Fleps1
1Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Engler-Bunte-Ring 15, Karlsruhe, 76131, Germany.
JMIR Mhealth and Uhealth
|February 19, 2026
Summary
Smartphone apps offer a practical way to assess motor performance skills (MPS) using markerless motion capture. This technology is valuable for large-scale studies in health, coaching, and research.
Area of Science:
- Biomechanics
- Digital Health
- Sports Science
Background:
- Motor performance skills (MPS) are crucial throughout life, impacting cognitive function, physical, and mental health.
- Traditional MPS assessment using marker-based motion capture is costly and time-consuming, limiting its use in large-scale studies.
- Advancements in AI and smartphone technology enable innovative solutions like video-based apps for accessible MPS assessment.
Purpose of the Study:
- To conduct a scoping review of smartphone applications designed for digital MPS assessment via motion capture.
- To identify the target populations for these applications.
- To determine the validation status and specific MPS evaluated by these apps.
Main Methods:
- The review followed PRISMA-ScR guidelines, searching major databases in March 2024.
- Included studies focused on video-based, markerless motion capture smartphone apps for MPS assessment.
- Ten studies met the inclusion criteria.
Main Results:
- Seven distinct smartphone apps were identified, with six already validated.
- Assessed MPS included gait, breaststroke, running, countermovement jump, shoulder mobility, and functional movement batteries.
- Target populations comprised healthy adults, older adults, athletes, and individuals with neurological conditions.
Conclusions:
- Smartphone apps provide a promising, accessible tool for MPS assessment across diverse fields like health monitoring, coaching, and research.
- Further development and validation of smartphone apps for various MPS are recommended for future research.
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