IoT based athlete physical training improves metabolic obesity symptoms: Muscle thermal energy consumption

With the rapid development of Internet of Things (iot) and mobile network technologies, traditional sports training methods are facing challenges in terms of data collection and analysis efficiency. By embedding sensors and cameras in the system, not only can the movements of athletes be monitored in real time, but the data can also be wirelessly transmitted to the cloud for analysis. The experimental results show that the training system based on the Internet of Things and mobile networks significantly improves the agility and training effect of athletes, demonstrating the application potential of mobile networks in sports training. Mobile network technology makes data transmission more efficient and convenient. Patients can access the training system at any time and place and adjust their personalised training plans. Graphic processing technology provides patients with more intuitive training data and simulation feedback, helping them better understand their performance and make adjustments.

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Publication Details

Journal
Archives of Physiology and Biochemistry
Published
2026-01-08
DOI
https://doi.org/10.1080/13813455.2025.2610477
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
0.00
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article

IoT based athlete physical training improves metabolic obesity symptoms: Muscle thermal energy consumption

Jiang Zhe
Archives of Physiology and Biochemistry
Advanced Technologies in Various Fields
article

IoT based athlete physical training improves metabolic obesity symptoms: Muscle thermal energy consumption

Jiang Zhe
article en

Abstract

With the rapid development of Internet of Things (iot) and mobile network technologies, traditional sports training methods are facing challenges in terms of data collection and analysis efficiency. By embedding sensors and cameras in the system, not only can the movements of athletes be monitored in real time, but the data can also be wirelessly transmitted to the cloud for analysis. The experimental results show that the training system based on the Internet of Things and mobile networks significantly improves the agility and training effect of athletes, demonstrating the application potential of mobile networks in sports training. Mobile network technology makes data transmission more efficient and convenient. Patients can access the training system at any time and place and adjust their personalised training plans. Graphic processing technology provides patients with more intuitive training data and simulation feedback, helping them better understand their performance and make adjustments.

Archives of Physiology and Biochemistry
Minnan Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 94%
Advanced Technologies in Various Fields
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