Predicting Player’s Healthiness Using Machine Learning

Abstract

This research paper introduces the PHD (Player Health Detection) system as a solution to address the issue of inadequate health checking of players prior to sports events. The PHD system, utilize real-time image and video processing technology, to detect players' health conditions and prioritize their safety and well-being. The system incorporates analysis of body balance, injury detection, exercise video analysis, and heart rate measurement to evaluate player eligibility for sports events. For this specific purpose, we have created a mobile application by integrating computer vision technology and employing specialized image processing software. The anticipated outcomes of this solution include injury prevention, enhanced player safety, and informed decision-making for coaches regarding player participation. The implementation of the PHD system contributes to the advancement of the sports industry by creating a safer environment and actively supporting the health and well-being of players.

Country : Sri Lanka

1 Diwyanjalee K.V.S2 Jayamini K.M.N3 Jayawardhana M.D.S.U4 Widanapathirana W.P.V.K5 Dr. Lakmini Abeywardhana6 Mr. Sasthira Hettiarachchi

  1. Department of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Department of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Department of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Department of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 10-17

doi.org/10.47001/IRJIET/2023.710002

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