Improving pilot mental workload classification through feature exploitation and combination: A feasibility study

Computers and Operations Research

Volumn 32, Issue 10, 2005, Pages 2713-2730

  Noel, Jeremy B ^a   Bauer Jr , Kenneth W ^a   Lanning, Jeffrey W ^a  

^a Air Force Institute of Technology   (United States)

Author keywords

Artificial neural network; Backpropagation; Feature calibration; Feature combination; Feature exploitation; Feature identification and classification; Feature saliency; Feature space; Mental workload; Pilot workload; Signal to noise ratio (SNR)

Indexed keywords

DATA REDUCTION; ELECTROENCEPHALOGRAPHY; FAST FOURIER TRANSFORMS; INFORMATION USE; SIGNAL TO NOISE RATIO;

FEATURE COMBINATION; FEATURE SPACERS; MENTAL WORKLOAD; PILOT WORKLOAD;

NEURAL NETWORKS;

EID: 13544270842     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2004.03.022     Document Type: Article

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