Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face Tracking

Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face Tracking

High risk professions, such as pilots, police officers, and TSA agents, require sustained vigilance over long periods of time and/or under conditions of little sleep. This can lead to performance impairment in occupational tasks. Predicting impaired states before performance decrement manifests is c...

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Bibliographic Details
Main Authors: Matthew S. Daley, David Gever, Hugo F. Posada-Quintero, Youngsun Kong, Ki Chon, Jeffrey B. Bolkhovsky
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Artificial Intelligence
Subjects:
machine learning
performance impairment
sleep deprivation
genetic algorithm
sequential forward selection
feature selection
Online Access:https://www.frontiersin.org/article/10.3389/frai.2020.00017/full

Internet

https://www.frontiersin.org/article/10.3389/frai.2020.00017/full

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