ORIGINAL RESEARCH article
Front. Psychol.
Sec. Sport Psychology
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1640081
This article is part of the Research TopicRevolutionizing sports science: Biomechanical models, wearable tech, and AIView all 3 articles
Evaluation of the Effects of the Body on Athletes' Emotions and Motivational Behaviors from the Perspective of Big Data Public Health
Provisionally accepted
- 1Soochow University, Suzhou, China
- 2Tarim University, Aral, China
- 3Hubei University of Arts and Science, Xiangyang, China
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Objective: An analysis was conducted on the impact of the body on athletes' emotions and motivation from the perspective of Public Health (PH). Methods: PSO-KNN (Particle Swarm Optimization-K-Nearest Neighbor) algorithm and PSO-SVM algorithm (Particle Swarm Optimization-Support Vector Machine) were obtained by combining Particle Swarm Optimization (PSO), K-Nearest Neighbor (KNN), and Support Vector Machine (SVM), and then the recognition rates of the two algorithms were compared. Result: When comparing the PSO-KNN algorithm and PSO-SVM algorithm on baseline removed and baseline not removed, the average recognition rates of PSO-KNN algorithm and PSO-SVM algorithm under emotional state were 56.66% and 54.75%, respectively. The average recognition rates of PSO-KNN algorithm and PSO-SVM algorithm with baseline removal under tension were 53.16% and 50.58%, respectively. Conclusion: The algorithm that removes the baseline is better than the algorithm that does not remove the baseline, and the PSO-KNN algorithm is better than the PSO-SVM algorithm.
Keywords: Public health perspective, athlete emotion, Particle Swarm Optimization, K-nearest neighbor, Support vector machine
Received: 03 Jun 2025; Accepted: 28 Jul 2025.
Copyright: © 2025 Zhang, Lian and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yiqiao Zhang, Hubei University of Arts and Science, Xiangyang, China
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