Research Trends in AI-Based Sports Biomechanics: A Review of Korean and International Studies from 2021 to 2025

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Key Points

This research aims to compare and analyze AI-based sports biomechanics studies from 2021 to 2025, highlighting methodological characteristics and future directions.
Descriptive literature review focusing on AI-based sports biomechanics research published between January 2021 and December 2025.
Systematic literature search performed across multiple English-language and Korean databases including Semantic Scholar, PubMed, and KCI.
Analysis included 5 international and 13 domestic studies using AI techniques for predicting, classifying, and interpreting biomechanics variables.
International studies predominantly utilized IMU and markerless motion capture for direct prediction of key biomechanics variables such as joint moments and 3D ground reaction forces.
Domestic research focused on practical applications such as clinical gait classification and fall detection, employing a diverse range of input data including IMUs and smartphone videos.
Future research is recommended to maintain practical application strengths while integrating diverse data sources and deepening biomechanics interpretations.

Review analyzes AI-based sports biomechanics studies to identify trends and future directions in Korea and globally.

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Soo Ji Han (2026) studied this question.

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