Andere Kunden interessierten sich auch für
![Pilot Mental Workload Calibration]( "Pilot Mental Workload Calibration")
Pilot Mental Workload Calibration59,99 €![Feature Selection for Predicting Pilot Mental Workload]( "Feature Selection for Predicting Pilot Mental Workload")
Feature Selection for Predicting Pilot Mental Workload59,99 €![USAF Pilot Perceptions of Workload Assessment in a Combat or High-Threat Environment]( "USAF Pilot Perceptions of Workload Assessment in a Combat or High-Threat Environment")
USAF Pilot Perceptions of Workload Assessment in a Combat or High-Threat Environment59,99 €![Statistical Methods for Image Registration and Denoising]( "Statistical Methods for Image Registration and Denoising")
Statistical Methods for Image Registration and Denoising59,99 €![Statistical Processing Methods for Polarimetric Imagery]( "Statistical Processing Methods for Polarimetric Imagery")
Statistical Processing Methods for Polarimetric Imagery59,99 €![Comparison of Climatological Optical Turbulence Profiles to Standard, Statistical and Numerical Models Using Heleeos]( "Comparison of Climatological Optical Turbulence Profiles to Standard, Statistical and Numerical Models Using Heleeos")
Comparison of Climatological Optical Turbulence Profiles to Standard, Statistical and Numerical Models Using Heleeos59,99 €![A Preliminary Study of Using the SEI's Capability Maturity Model to Set Statistical Control Bounds on Dod Contractor Cost and Schedule Performance]( "A Preliminary Study of Using the SEI's Capability Maturity Model to Set Statistical Control Bounds on Dod Contractor Cost and Schedule Performance")
A Preliminary Study of Using the SEI's Capability Maturity Model to Set Statistical Control Bounds on Dod Contractor Cost and Schedule Performance59,99 €
The problem of classifying pilot mental workload is important to the United States Air Force. Pilots are more subject to errors and G-induced loss of consciousness during periods of mental overload and task saturation. Often the result is the loss of aircraft, and in extreme cases, the loss of the pilot's life. Current research efforts use different psychophysiological features to classify pilot mental workload. These include cardiac, ocular, respiratory, and brain activity measures. The focus of this effort is to apply statistical process control methodology on different psychophysiological features in an attempt to classify pilot mental workload. The control charts track these features throughout the flight, and classify a segment as high workload if the measurements of these features are greater than predefined control limits. We find that certain control charts prove to be effective workload classifiers and maintain high classification accuracies when applied to other flight data.