What question did this study set out to answer?

This research aims to develop and validate a lightweight pose estimation algorithm for analyzing sports motion in real-time.

May 22, 2026Open Access

Real-time lightweight pose estimation for sports motion analysis on mobile and edge platforms

Key Points

This research aims to develop and validate a lightweight pose estimation algorithm for analyzing sports motion in real-time.
Developed a lightweight pose estimation algorithm suitable for mobile and edge computing platforms.
Conducted performance evaluations under various conditions to test real-time processing ability.
Implemented tests within sports scenarios to gather quantitative analysis data.
Achieved an accuracy of 92% in real-time pose estimation in sports applications.
Processing time optimized to under 50ms per frame on mobile devices.
User feedback indicates improved analysis and insights during sports training sessions.

Abstract

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Authors

Haibo Wang

Qingdao University

Ningning Li

Chao Liu

Liaocheng University

Journals

International Journal of Business Intelligence and Data Mining

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Real-time lightweight pose estimation for sports motion analysis on mobile and edge platforms

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Abstract

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