A scalable, hyperstable intelligent fibre velocimeter for dynamic digitization of resistance training

ABSTRACT Real-time accuracy and continuous dynamic monitoring capability of devices are crucial for the scientific configuration and dynamic modulation of resistance training, such as strength training, rehabilitation and in-orbit training for astronauts. However, developing monitoring devices capable of providing real-time, accurate and dynamic quantification for high-velocity resistance training remains a notable challenge. Here, we present a scalable and hyperstable intelligent fibre velocimeter designed for the digital, real-time and dynamic monitoring of resistance training. By incorporating the fibre velocimeter as a core component, the intelligent resistance band system demonstrates cyclic stability exceeding 120 000 cycles and torsional insensitivity, facilitating hyperstable velocimetry within the 0–2.5 m/s range with an accuracy exceeding 95%. This system is capable of capturing instantaneous training parameters, including velocity, tension and power during cyclic resistance training, as well as performing dynamic evaluations and providing early warnings for overspeed or fatigue. A comparative experiment with and without feedback guidance from the intelligent resistance band system verified that its precise feedback significantly elevates training intensity, explosive performance and movement compliance while reducing injury risk. Given its compact design, real-time sensing and evaluation of highly accurate multidimensional training parameters, and hyperstability, this system potentially advances training digitization and sports intelligence.

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Publication Details

Journal
National Science Review
Published
2025-12-07
DOI
https://doi.org/10.1093/nsr/nwaf560
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00

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article

A scalable, hyperstable intelligent fibre velocimeter for dynamic digitization of resistance training

Pan Li, Jingyu Ouyang, Rui Han, Guangming Tao et al.
National Science Review
Sports Performance and Training
article

A scalable, hyperstable intelligent fibre velocimeter for dynamic digitization of resistance training

Pan Li, Jingyu Ouyang, Rui Han, Guangming Tao, Jingbo Sun, Guangcong Liu, Duo Li, Yi Zou, Hongtao Zeng, Weitao Zheng
article en

Abstract

ABSTRACT Real-time accuracy and continuous dynamic monitoring capability of devices are crucial for the scientific configuration and dynamic modulation of resistance training, such as strength training, rehabilitation and in-orbit training for astronauts. However, developing monitoring devices capable of providing real-time, accurate and dynamic quantification for high-velocity resistance training remains a notable challenge. Here, we present a scalable and hyperstable intelligent fibre velocimeter designed for the digital, real-time and dynamic monitoring of resistance training. By incorporating the fibre velocimeter as a core component, the intelligent resistance band system demonstrates cyclic stability exceeding 120 000 cycles and torsional insensitivity, facilitating hyperstable velocimetry within the 0–2.5 m/s range with an accuracy exceeding 95%. This system is capable of capturing instantaneous training parameters, including velocity, tension and power during cyclic resistance training, as well as performing dynamic evaluations and providing early warnings for overspeed or fatigue. A comparative experiment with and without feedback guidance from the intelligent resistance band system verified that its precise feedback significantly elevates training intensity, explosive performance and movement compliance while reducing injury risk. Given its compact design, real-time sensing and evaluation of highly accurate multidimensional training parameters, and hyperstability, this system potentially advances training digitization and sports intelligence.

National Science Review
Central China Normal University (CN), General Administration of Sport of China (CN), China Astronaut Research and Training Center (CN), Huazhong University of Science and Technology (CN), Wuhan Sports University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Wuhan National Laboratory for Optoelectronics
Openalex Percentile: Top 50%
Sports Performance and Training
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