International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Predicting Player’s Healthiness Using Machine Learning

Diwyanjalee K.V.SDepartment of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaJayamini K.M.NDepartment of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaJayawardhana M.D.S.UDepartment of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaWidanapathirana W.P.V.KDepartment of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaDr. Lakmini AbeywardhanaDepartment of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaMr. Sasthira HettiarachchiDepartment of Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 10-17

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 14-10-2023

doi Logo doi.org/10.47001/IRJIET/2023.710002

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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.

Keywords

PHD, sports events, real-time system, image processing, injury prevention, body balance analysis, heart rate measurement, video analysis


Citation of this Article

Diwyanjalee K.V.S, Jayamini K.M.N, Jayawardhana M.D.S.U, Widanapathirana W.P.V.K, Dr. Lakmini Abeywardhana, Mr. Sasthira Hettiarachchi, “Predicting Player’s Healthiness Using Machine Learning” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 10-17, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710002

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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