[CVPRW 2026] Official implementation of "BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket Sports"

Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.

No description available

GitHub repository for the mini project 1 done during my ME 1st Sem

Badminton Stroke Classification using Edge Devices is a targeted initiative addressing challenges in sports analytics. Focused on refining player performance, this project informs users about the specific badminton strokes being executed.

No description available

No description available

Classifying badminton strokes based on accelerometer and gyroscope sensor data attached to the player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.

 Badminton Stroke Classification using Edge Devices is a targeted initiative addressing challenges in sports analytics