Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Workload Assessment in Flight using Dense Array Eeg

Authors: Tom Schnell; Todd Macuda; Pieter Poolman; Mike Keller;

Workload Assessment in Flight using Dense Array Eeg

Abstract

As cockpit technologies advance and increase information-rich content is provided to aircrews, and it is possible that we are reaching the cognitive limits of the human operator. With additional layers of automation, crew alertness becomes equally important as high levels of workload. Foundational tools, methods, and technology components to quantitatively assess cognitive limits and to characterize operator state are needed to improve aircraft safety and enable full realization of the Next Generation Air Transport System (NGATS). Over the last two years, we have built up a neural imaging capability onboard our Computerized Airborne Research Platform (CARP) research aircraft, a Beech Bonanza. A similar system shall be deployed on the National Research Council (NRC, Canada) Bell 412 Advanced Systems Research Aircraft (ASRA). Flight trials on the ASRA are slated for November, 2006. We have collected preliminary physiological data using the CARP in flight to demonstrate that minute EEG signals can in fact be collected in the ecologically valid context of real flight. A secondary goal of our work was to develop data synchronization and artifact removal methods. In future research, we hope to automate these methods and collect physiological data to develop sophisticated Operator State Classification and Feedback models. This research program is a collaborative effort between the National Research Council Canada and the Operator Performance Laboratory (OPL).

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!