2023
DOI: 10.3389/fbioe.2023.1302911
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Identification of runner fatigue stages based on inertial sensors and deep learning

Pengfei Chang,
Cenyi Wang,
Yiyan Chen
et al.

Abstract: Introduction: Running is one of the most popular sports in the world, but it also increases the risk of injury. The purpose of this study was to establish a modeling approach for IMU-based subdivided action pattern evaluation and to investigate the classification performance of different deep models for predicting running fatigue.Methods: Nineteen healthy male runners were recruited for this study, and the raw time series data were recorded during the pre-fatigue, mid-fatigue, and post-fatigue states during ru… Show more

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Cited by 6 publications
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