Estimation of task workload from EEG data: New and current tools and perspectives

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 6547-6551

  Kothe, Christian A ^a   Makeig, Scott ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE STATE; COMPUTATIONAL APPROACH; CROSS VALIDATION; EMPIRICAL COMPARISON; MENTAL WORKLOAD; MULTI-ATTRIBUTES; OVER-COMPLETE; TASK WORKLOADS;

ELECTROPHYSIOLOGY; PATIENT MONITORING;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; COGNITION; COMPUTER PROGRAM; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMAN; METHODOLOGY; NEUROSCIENCE; OSCILLOMETRY; REGRESSION ANALYSIS; REPRODUCIBILITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CALIBRATION; COGNITION; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMANS; NEURAL NETWORKS (COMPUTER); NEUROSCIENCES; OSCILLOMETRY; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 84055188856     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091615     Document Type: Conference Paper

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