Generating context-specific sports training plans by combining generative adversarial networks

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0318321 - e0318321

Published: Jan. 30, 2025

Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) rule-based approaches cannot dynamically generate context-specific programs, reducing their applicability in real-world scenarios. This study aims develop a Generative Adversarial Network (GAN)- based framework create by integrating numeric attributes (e.g., age, heart rate) motion features from video data. The research focuses on improving efficiency real-time while the limitations of methods. proposed GAN combines using generator-discriminator architecture produce tailored plans. model is evaluated quantitatively through metrics like mean square error (MSE) generation time qualitatively subjective ratings athletes coaches five-point Likert scale context-specific, scientificity, applicability, feasibility. Statistical significance analyzed ANOVA testing. outperforms ML methods, achieving 22% reduction MSE 45% improvement time. Subjective evaluations reveal significant improvements with averaging 4.8/5 compared 3.9/5 baseline models. effectively integrates multimodal data, demonstrating dynamic high suitable applications. GAN-based advances personalized superior efficiency. These results highlight model’s potential practical deployment athletic coaching systems, critical gaps existing methodologies offering scalable solutions individualized training.

Language: Английский

---

Correlation analysis between multi-category design arts based on principal component analysis model

Systems and Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 200286 - 200286

Published: May 1, 2025

Language: Английский

---

RETRACTED ARTICLE: Quantum sensors in sports biomechanics in revolutionizing injury prevention

Optical and Quantum Electronics, Journal Year: 2023, Volume and Issue: 56(3)

Published: Dec. 29, 2023

Language: Английский

---