Using EEG spectral components to assess algorithms for detecting fatigue

Expert Systems with Applications

Volumn 36, Issue 2 PART 1, 2009, Pages 2352-2359

  Jap, Budi Thomas ^a   Lal, Sara ^a   Fischer, Peter ^b   Bekiaris, Evangelos ^c  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b Signal Network Technology Pty Ltd   (Australia)

^c INFORMATION TECHNOLOGIES INSTITUTE   (Greece)

Author keywords

Algorithms; Driver fatigue; EEG ratios; EEG spectra; Fatigue countermeasure

Indexed keywords

ALGORITHMS; ELECTROPHYSIOLOGY; FATIGUE OF MATERIALS;

DRIVER FATIGUE; EEG RATIOS; EEG SPECTRA; EFFICIENCY AND PERFORMANCE; FATIGUE COUNTERMEASURES; FATIGUE DETECTION; OCCUPATIONAL HAZARDS; SPECTRAL COMPONENTS;

ELECTROENCEPHALOGRAPHY;

EID: 56349131350     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.12.043     Document Type: Article

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