Novel Architecture for Reducing Sports Injuries in Football

Authors

  • Durgansh Sharma
  • Vaibhava Sharma

DOI:

https://doi.org/10.55487/ijcih.v1i1.5

Keywords:

Sports Injury, Football, Computer Vision, Gesture Recognition, Predictive analytics.

Abstract

This paper proposes a novel architecture to reduce sports injury in the game of football. The research framework non-invasively intrudes the captured postures of athletes during their respective playing sessions using computer vision and wearable devices. The inclusion of computer vision transforms the postures and gestures as semantic moves, which after processed using the proposed framework predicts the injury in advance depending upon the moves of the respective player.

Author Biographies

Durgansh Sharma

Associate Professor,University of Petroleum & Energy Studies (UPES), Department of Cybernetics & School of Computer Science, Energy Acres Building, Bidholi, Dehradun–248007, Uttarakhand, India

Vaibhava Sharma

MBA-ESG (Sports Management), Jain University (Deemed to be University), Bengaluru, Karnataka–560009, India

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Published

2021-01-16