Review of Application of Gesture and Poses for Reducing Injury in Sports


  • Durgansh Sharma



Injury in Sports, Gesture and poses, Artificial intelligence (AI), Rehabilitation exercises


This review explores the transformative potential of gesture and poses analysis in the realm of sports, aiming to
enhance performance and reduce injuries among sportsperson. The integration of advanced technologies, such
as motion capture systems and artificial intelligence, enables a meticulous examination of athletes’ movements,
surpassing the limitations of traditional methods. By breaking down complex motions into discrete elements,
biomechanical assessments can identify subtle irregularities that may predispose athletes to injuries, offering
a data-driven and objective dimension to injury prevention.
Gesture and poses analysis extends its impact to rehabilitation, personalizing programs based on an athlete’s
unique movements for faster recovery and reduced re-injury risks. Motion capture technology, featuring highspeed
cameras and inertial sensors, provides three-dimensional reconstructions, while artificial intelligence
processes vast datasets to develop predictive models for assessing injury risks.
While applicable across various sports, ethical considerations surrounding athlete privacy and consent underscore
the importance of responsible technology use. As sports science enters a new era, the review delves into specific
applications, success stories, and potential challenges associated with the integration of gesture and poses
analysis in the pursuit of athletic excellence.

Author Biography

  • Durgansh Sharma

    Professor, School of Business Management, CHRIST University, Bangalore