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Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping

Verena Venek1, Stefan Kranzinger1, Hermann Schwameder2

  • 1Human Motion Analytics, Salzburg Research Forschungsgesellschaft mbH, 5020 Salzburg, Austria.

Sensors (Basel, Switzerland)
|July 9, 2022
PubMed
Summary

Sensor technology enhances sports movement analysis quality. However, real-world application in sports requires further research, particularly impact studies with control groups for training and injury prevention.

Keywords:
inertial measurement unitmovement patternobjective assessmentvision-based

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Area of Science:

  • Sports Science
  • Biomechanics
  • Human Movement Analysis

Background:

  • Sensor technology enables objective, data-driven evaluation of human movement quantity and quality in sports.
  • Assessing movement quality in ecologically similar environments is crucial for practical sports applications.

Purpose of the Study:

  • To provide a scoping review of sensor technologies used for human movement quality assessment in sports.
  • To identify current methodologies and limitations in applying sensor technology for movement quality analysis in recreational and professional athletes.

Main Methods:

  • Systematic search of four online databases for relevant studies.
  • Inclusion of 16 eligible articles focusing on sensor technology and movement quality in athletes.
  • Analysis of sensor types, movement quality assessment methods, and study designs.

Main Results:

  • Inertial sensor technology (50%) and vision-based sensor technology (31%) were the predominant sensor types.
  • Movement quality was primarily assessed by comparing to expert performance, exercise definitions, or individual baselines (69%).
  • No studies utilized control groups to evaluate the impact on training, injury prevention, or behavior change.

Conclusions:

  • While sensor technology is used for movement quality assessment, its field application in sports is still developing.
  • Future research should focus on impact studies of technology-assisted interventions using control groups.
  • Investigating movement quality features beyond kinematics is recommended for comprehensive analysis.