What does this research mean for the field?

A computer vision system utilizing 3D Convolutional Neural Networks, optical flow, and pose estimation can effectively classify cricket batting shots and provide data-centric performance analysis by comparing execution to professional benchmarks. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research classifies various batting shots and analyzes player performance using advanced techniques.

June 1, 2026Scientific Reports0 citationsOpen Access

Deep Learning-Based Cricket Batting Shot Classification and Performance Analysis

Deep learning based cricket batting shot classification and performance analysis using computer vision

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Authors

SRS. Rajarajeswari DPDevika Prashant JSJayanth Srinivasan

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Overview

Randomized trial classifies batting shots and evaluates performance in cricket players, suggesting improvements through AI analysis.

Key Points

This research classifies various batting shots and analyzes player performance using advanced techniques.
Data collected from videos of players executing batting shots.
Techniques like optical flow and pose estimation used for motion and position analysis.
A 3D Convolutional Neural Network processes features for shot classification.
Shot classification aids in comparing player performance with professional standards.
Evaluation metrics highlight areas for improvement based on professional player comparisons.
The system enables real-time insights for coaching and training applications.

Cite This Study

Rajarajeswari et al. (2026) studied this question.

synapsesocial.com/papers/6a1d212702fbce9130637437 https://doi.org/10.1038/s41598-026-52617-1

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June 1, 2026Scientific Reports0 citationsOpen Access

Deep Learning-Based Cricket Batting Shot Classification and Performance Analysis

Deep learning based cricket batting shot classification and performance analysis using computer vision

View Full Paper

Ask AI

Bookmark

Authors

SRS. Rajarajeswari DPDevika Prashant JSJayanth Srinivasan

Discussion

Member takes

Overview

Randomized trial classifies batting shots and evaluates performance in cricket players, suggesting improvements through AI analysis.

Key Points

This research classifies various batting shots and analyzes player performance using advanced techniques.
Data collected from videos of players executing batting shots.
Techniques like optical flow and pose estimation used for motion and position analysis.
A 3D Convolutional Neural Network processes features for shot classification.
Shot classification aids in comparing player performance with professional standards.
Evaluation metrics highlight areas for improvement based on professional player comparisons.
The system enables real-time insights for coaching and training applications.

Cite This Study

Rajarajeswari et al. (2026) studied this question.

synapsesocial.com/papers/6a1d212702fbce9130637437 https://doi.org/10.1038/s41598-026-52617-1

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