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Audio-based performance evaluation of squash players.

Katalin Hajdú-Szücs1, Nóra Fenyvesi2, József Stéger2

  • 1Dept. of Information Systems, Eötvös Loránd University, Budapest, Hungary.

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|March 27, 2018
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Summary
This summary is machine-generated.

This study introduces a novel framework using sound patterns to analyze performance in racquet sports. It precisely classifies events, estimates ball speed, and defines shot precision for objective player assessment and strategy improvement.

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Area of Science:

  • Sports Science
  • Acoustic Analysis
  • Performance Analytics

Background:

  • Quantifying performance in competitive sports is challenging due to the precision required.
  • Racquet sports feature rapid events that are difficult to record and analyze for performance differentiation.

Purpose of the Study:

  • To architect a framework for classifying racquet sport events using characteristic sound patterns.
  • To enable precise localization of events and estimation of ball speed and shot precision.

Main Methods:

  • Utilizing characteristic sound patterns to classify and localize events in real-time.
  • Estimating shot types and ball speed based on acoustic data.
  • Defining shot precision by comparing estimates with optimal parameters.

Main Results:

  • A framework was successfully implemented and tested in a squash court.
  • The system precisely classifies event types and localizes their positions.
  • Detailed shot statistics and precision information were generated, enhancing current data availability.

Conclusions:

  • The developed framework significantly enriches performance data in racquet sports.
  • Objective performance description and strategy skill improvement are facilitated for players and coaches.
  • Acoustic analysis provides a viable method for detailed sports performance evaluation.