Intelligent Golf Swing Assessment: An AI-Driven Approach to Personalized Sports Education
The integration of artificial intelligence (AI) in physical education represents a paradigm shift towards more scientific, personalized, and intelligent sports instruction. This research introduces a novel computer vision-based approach to golf teaching, leveraging human pose recognition technology for real-time movement posture capture and intelligent assessment. By developing an AI system capable of automatically analyzing movement standardization, we aim to enhance teaching effectiveness and provide students with data-driven, scientifically informed training guidance.
Authors
- Sen Xiang (ORCID: https://orcid.org/0000-0001-5384-0730)
- Huizi Xiao (ORCID: https://orcid.org/0000-0002-1662-5932)
- Huiping Deng (ORCID: https://orcid.org/0000-0002-8931-6946)
- Jin Liu (ORCID: https://orcid.org/0000-0002-5143-2263)
Institutions
- Wuhan University (CN)
- Wuhan University of Science and Technology (CN)
Publication Details
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1109/cste64638.2025.11091979
- Citations
- 1
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 3.13
Funders
- Wuhan University of Science and Technology