Predicting Fatigue in Long Duration Mountain Events with a Single Sensor and Deep Learning Model

Predicting Fatigue in Long Duration Mountain Events with a Single Sensor and Deep Learning Model

Aim: To determine whether an AI model and single sensor measuring acceleration and ECG could model cognitive and physical fatigue for a self-paced trail run. Methods: A field-based protocol of continuous fatigue repeated hourly induced physical (~45 min) and cognitive (~10 min) fatigue on one health...

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Bibliographic Details
Main Authors: Brian Russell, Andrew McDaid, William Toscano, Patria Hume
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
fatigue
cognitive
physical
executive decision-making
psychophysiology
artificial intelligence
Online Access:https://www.mdpi.com/1424-8220/21/16/5442

Internet

https://www.mdpi.com/1424-8220/21/16/5442

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