EEG-based estimation of mental fatigue: Convergent evidence for a three-state model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4565 LNAI, Issue , 2007, Pages 201-211

  Trejo, Leonard J ^a   Knuth, Kevin ^b   Prado, Raquel ^c   Rosipal, Roman ^d   Kubitz, Karla ^e   Kochavi, Rebekah ^f   Matthews, Bryan ^g   Zhang, Yuzheng ^c  

^a QUASAR Group   (United States)

^b STATE UNIVERSITY OF NEW YORK   (United States)

^c University of California Santa Cruz   (United States)

^d AUSTRIAN RESEARCH INSTITUTE FOR ARTIFICIAL INTELLIGENCE   (Austria)

^e TOWSON UNIVERSITY   (United States)

^f QSS Group Inc   (United States)

^g MISSION CRITICAL TECHNOLOGIES INC   (United States)

Author keywords

Alertness; Augmented cognition; Computational models; EEG; Mental fatigue; Performance monitoring; Situation awareness

Indexed keywords

ELECTROENCEPHALOGRAPHY; MATHEMATICAL MODELS; MEDICAL PROBLEMS; PATIENT MONITORING;

AUGMENTED COGNITION; COMPUTATIONAL MODELS; MENTAL FATIGUE; PERFORMANCE MONITORING;

COMPUTATIONAL METHODS;

EID: 38049044829     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73216-7_23     Document Type: Conference Paper

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