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

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第一作者： Matthew S,Daley

第一单位： Naval Submarine Medical Research Laboratory, Groton, CT, United States.

作者： Matthew S,Daley ^[1] ; David,Gever ^[1] ; Hugo F,Posada-Quintero ^[2] ; Youngsun,Kong ^[2] ; Ki,Chon ^[2] ; Jeffrey B,Bolkhovsky ^[1]

作者单位： Naval Submarine Medical Research Laboratory, Groton, CT, United States. ^[1] Department of Biomedical Engineering, University of Connecticut, Storrs, CT, United States. ^[2]

关键词 feature selection genetic algorithm machine learning performance impairment psychomotor vigilance task sequential forward selection sleep deprivation

DOI 10.3389/frai.2020.00017

PMID 33733136

发布时间 2021-03-20

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Frontiers in artificial intelligence

2020年3卷

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Frontiers in artificial intelligence

2020年3卷

17页

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

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

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Frontiers in artificial intelligence

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