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Journal of Sports Medicine & Doping Studies

ISSN: 2161-0673

Open Access

JumpAlert A Wearable System for Inline Figure Skating Jump Detection

Abstract

Finch Lauren*

This study introduces "jump alert," a wearable system designed for inline figure skating jump detection. Inline figure skating, characterized by intricate footwork and jumps, demands precise timing and technique execution. To aid skaters in enhancing their performance and safety, Jump Alert utilizes sensor technology embedded within wearable devices to detect and analyse jump movements in real-time. By monitoring key kinematic parameters and employing machine learning algorithms, Jump Alert accurately identifies jumps during skating routines, providing immediate feedback to skaters and coaches. This innovative system has the potential to revolutionize inline figure skating training and competition by facilitating skill development, injury prevention and performance assessment.

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Citations: 1022

Journal of Sports Medicine & Doping Studies received 1022 citations as per Google Scholar report

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