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Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
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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.

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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.

Keywords:
AI-based motion captureartificial intelligenceathletesautomated video assessmenthealthy adultskinematicsmental healthmobile healthmotion capturemotor assessmentmotor performance skillsneurological illnessesolderphysical healthscoping reviewsmartphone app

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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.