2025

Curling Analytics

Laura Meriama Giovannetti, Jia Fu, Sepideh Pashami, Victor Sanderius, Martin Nilsson

Summary

Provides data-driven decision support for Swedish national curling team using real-time data and advanced analytics. Collects data from Jönköping National Curling Hall using cameras, IMU, magnetic and optical sensors. Features curlometer for shot measurement, pose estimation using YOLOv11 and Dynamic Time Warping for consistency analysis.

Themes

computer-visionmachine-learning

Keywords

curling, sports analytics, pose estimation, YOLO, decision support

Poster

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