Unveiling the Impact of Air Pollution on Outdoor Training for Endurance and Explosive Power

• Published in: International journal of ambient computing and intelligence Vol. 15; no. 1; pp. 1 - 19
• Main Author: Shi, Lei
• Format: Journal Article
• Language: English
• Published: Hershey IGI Global 22.07.2025
• Subjects: Air pollution; Algorithms; Athletes; Data collection; Dimensional analysis; Endurance; Health risk assessment; Motion capture; Optimization; Optimization algorithms; Outdoor air quality; Pollutants; Pollution levels; Sports training; Three dimensional analysis
• ISSN: 1941-6237; 1941-6245
• DOI: 10.4018/IJACI.386085

In recent years, air pollution impacts athletes during outdoor training, especially in endurance and explosive-power training. This paper uses the boundary image inverse optimization algorithm and dynamic scene three-dimensional analysis model to study this impact. First, it briefly introduces the algorithms' application in sports training and existing research. Then, by combining dynamic scene classification technology, it quantifies the training process and proposes an improved boundary image inverse optimization algorithm. Finally, it uses the 3D analysis model to classify the training process and verifies it with data under different air-pollution levels. The study shows that the same-level air pollution affects outdoor endurance and explosive-power training differently. The proposed model can effectively quantify pollution's impact, offer training suggestions, improve training effects, and reduce pollution-related harm to athletes.