Research on the Application of Facial Expression Recognition Model Based on BP Neural Network in the Assessment of Sports Fatigue of Young Athletes
This article explores the importance of evaluating and intervening in sports fatigue among adolescent athletes, and proposes using a BP neural network facial expression recognition model to automatically assess fatigue status. A facial expression recognition model was constructed by studying the correlation between facial expressions and fatigue through literature review and mathematical statistics.Compared with the traditional evaluation method, this model can make the coach more objectively grasp the athletes’ emotion and fatigue state, and provide data support for it. Although the research is preliminary, with the accumulation of data, the accuracy of the model will improve, which will contribute to safe training. This method is convenient, non-invasive, and has theoretical and practical value, which helps to monitor exercise fatigue and improve health and performance.
Authors
- Yicong Jin
- Gongbo Wei
- Si-Min Huang
- Shih T. Liang
- Mingyuan Zhao (ORCID: https://orcid.org/0000-0001-9474-3822)
- Qingfa Dou
Institutions
- Harbin University (CN)
- Zhaoqing University (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/tcs64526.2024.11025270
- Primary Topic
- Advanced Sensor and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Education