A Deep Learning Approach for Fatigue Prediction in Sports Using GPS Data and Rate of Perceived Exertion

A Deep Learning Approach for Fatigue Prediction in Sports Using GPS Data and Rate of Perceived Exertion

Monitoring players’ fatigue is essential to maintaining the best performance of players during sports games. The level of fatigue can be measured by the external workload, the aggregated amount of physical activity or internal workload, which is an individual’s psycho-physiolog...

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Bibliographic Details
Main Authors: Jeongbin Kim, Hyunsung Kim, Jonghyun Lee, Jaechan Lee, Jinsung Yoon, Sang-Ki Ko
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
electronic performance and tracking systems (EPTS)
fatigue prediction
fatigue prevention
gps data
rate of perceived exertion (RPE)
Online Access:https://ieeexplore.ieee.org/document/9881489/

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