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Validating an algorithm from a trunk-mounted wearable sensor for detecting stroke events in tennis.

Thomas Perri1,2, Machar Reid2, Alistair Murphy2

  • 1School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia.

Journal of Sports Sciences
|March 23, 2022
PubMed
Summary

This study found wearable technology accurately detects tennis serves and drives. However, it struggles with volleys, slices, and strokes involving less trunk rotation, requiring algorithm improvement.

Keywords:
Racquet sportsaccuracyexternal loadwearable sport technology

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Area of Science:

  • Sports Science
  • Biomechanics
  • Wearable Technology

Background:

  • Wearable technology offers potential for objective sports performance analysis.
  • Accurate tennis stroke detection is crucial for performance evaluation and training.

Purpose of the Study:

  • To evaluate the accuracy of a prototype algorithm for tennis stroke detection using wearable sensors.
  • To compare algorithm-based stroke detection with manual video coding in junior-elite tennis players.

Main Methods:

  • Junior-elite players wore GPS units with accelerometers, gyroscopes, and magnetometers during 10 matches.
  • Manufacturer algorithms determined stroke type and count, compared against manual video coding.
  • Statistical analysis included ANOVA and Bland-Altman plots to assess accuracy and error rates.

Main Results:

  • No significant difference in overall stroke count between the algorithm and manual coding (p > 0.05).
  • High accuracy for serves (≥98%) and groundstroke drives (>86%).
  • Significant overestimation of 'other' strokes; volleys (58-60%) and slices/end-range strokes (49-51%) were often undetected or misclassified.

Conclusions:

  • The prototype algorithm accurately quantifies tennis serves and groundstroke drives.
  • Detection accuracy decreases for strokes with reduced trunk rotation, such as volleys and slices.
  • Algorithm refinement is needed to improve detection of less common or complex stroke types.