Real-Time Personalized Physiologically Based Stress Detection for Hazardous Operations

Real-Time Personalized Physiologically Based Stress Detection for Hazardous Operations

When training for hazardous operations, real-time stress detection is an asset for optimizing task performance and reducing stress. Stress detection systems train a machine-learning model with physiological signals to classify stress levels of unseen data. Unfortunately, individual differences and t...

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Bibliographic Details
Main Authors: Tor T. Finseth, Michael C. Dorneich, Stephen Vardeman, Nir Keren, Warren D. Franke
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Stress detection
machine learning
physiological sensors
virtual reality
spaceflight training
Online Access:https://ieeexplore.ieee.org/document/10063853/

Internet

https://ieeexplore.ieee.org/document/10063853/

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