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Novel Classifier of Neural ImpairmentThe proposed research aligns with Ames Core Competency within the area of Intelligent/Adaptive Systems under Human Systems Integration. This will serve as a robust, efficient, and user-friendly human performance assessment tool that could provide immediate neural status of crewmembers in low-orbit and deep space missions. The human operator is a critical element of crew safety and should be evaluated consistently to mitigate potential off-nominal situations propagated from human error. Flagged deficits in oculomotor performance could act as an alert signal for crewmembers to opt out of cognitively demanding tasks or to prevent irreversible compromise in crewmember health.
Document ID
20190029001
Acquisition Source
Ames Research Center
Document Type
Poster
Authors
Tyson, Terence L.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 13, 2019
Publication Date
August 8, 2019
Subject Category
Behavioral Sciences
Report/Patent Number
ARC-E-DAA-TN71913
Meeting Information
Meeting: Annual Ames Innovation Fair
Location: Moffett Field, CA
Country: United States
Start Date: August 8, 2019
Sponsors: NASA Ames Research Center
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
impairment
oculometrics
classifier
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