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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Shekhar R.
Alliance School of Advanced Computing
Computer Science & IT

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Review on badminton players hand-grip analysis and tactical dynamics prediction using egocentric vision Sriramachandra Murthy K.; Shekhar R.; Athira B. Kaimal
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 5: October 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i5.27915

Abstract

Many works have already been carried out on computer vision-based sports analytics, activities in egocentric vision to improve player performance. But less is explored in terms of vision based kinematic analysis in badminton where shuttle trajectory is explored, angles are derived from features and analyzing biomechanics of the player first person vision cameras. This paper reviews existing research on badminton hand-grip analysis and tactical prediction using egocentric vision. It highlights key methods, datasets, and challenges in applying computer vision techniques to sports analytics. The review focuses on computer vision approaches for analyzing hand-grip patterns and predicting tactical dynamics in badminton using egocentric video data. The study summarizes current advancements, identifies research gaps, and outlines future directions for improving egocentric-vision-based sports analytics.
Co-Authors Athira B. Kaimal Sriramachandra Murthy K.