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Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study.

Monica J Finkbiner1, Kira M Gaina1, Marie C McRandall1

  • 1Physical Therapy Program, Department of Healthcare Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University.

Journal of Visualized Experiments : Jove
|April 1, 2017
PubMed
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Smartphone apps show moderate agreement with 3D motion capture for measuring knee angles during gait. This validates their use as a clinical tool for human movement analysis, with errors averaging 3-5 degrees.

Area of Science:

  • Biomechanical Engineering
  • Clinical Biomechanics
  • Digital Health

Background:

  • Smartphone applications offer accessible tools for clinical gait assessment.
  • Validating these tools against established methods like 3D motion capture is crucial for clinical adoption.

Purpose of the Study:

  • To assess the concurrent validity of smartphone-derived kinematic measures against a 3D motion capture system for sagittal plane knee angles.
  • To establish a protocol for smartphone camera setup in clinical video movement analysis.

Main Methods:

  • 32 healthy subjects underwent gait analysis using a smartphone app and a 3D motion capture system.
  • Knee angles were measured during heel strike and toe-off at two randomized camera distances (2m and 4m).
  • Regression analysis determined optimal camera height based on subject anthropometrics.

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Main Results:

  • Moderate, significant agreement (p < 0.05) was found between smartphone app and 3D motion capture for knee angles.
  • Absolute measurement errors were lower during toe-off (3.12 ± 5.44°) than heel strike (5.81 ± 5.26°).
  • No significant differences in measurement errors were observed between the two camera distances.

Conclusions:

  • Smartphone applications demonstrate potential as a valid tool for clinical gait and human movement analysis.
  • The developed protocol aids clinicians in setting up smartphone cameras for accurate video movement analysis.
  • Further research is recommended to evaluate accuracy for upper extremity and trunk movements.