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Normative Baseline Oculomotor PerformanceFuture missions to the moon or Mars will require the crew to monitor and assess their health and performance more autonomously, necessitating approaches that are easily useable and interpretable by non-clinicians. The eye-movement-based performance metrics (oculometrics) obtained from NASA-patented technology developed at the Visuomotor Control Laboratory can reliably detect and discriminate the source of mild neural impairment relative to an individual’s baseline visual and sensorimotor performance and can predict performance in manual control tasks. This study aims to develop a database of normative performance that can be used to enable the detection of impairment without a within-subject baseline and to facilitate power analyses for the design of future studies.
Document ID
20220000604
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Leland S Stone
(Ames Research Center Mountain View, California, United States)
Jesus A Garcia Arango
(San Jose State University San Jose, California, United States)
Terence L Tyson
(Ames Research Center Mountain View, California, United States)
Rahul Goel
(San Jose State University San Jose, California, United States)
Mark R Anderson
(ASRC Federal Data Solutions, LLC )
Greg Costedoat
(San Jose State University San Jose, California, United States)
Nathan H Feick
(San Jose State University San Jose, California, United States)
Erin E Flynn-Evans
(Ames Research Center Mountain View, California, United States)
Date Acquired
January 26, 2022
Subject Category
Behavioral Sciences
Meeting Information
Meeting: NASA HRP Investigators Workshop
Location: Virtual
Country: US
Start Date: February 7, 2022
End Date: February 10, 2022
Sponsors: National Aeronautics and Space Administration
Funding Number(s)
WBS: 046193.01.01.10
CONTRACT_GRANT: NNX17AE07A
CONTRACT_GRANT: NNX17AE07A
CONTRACT_GRANT: 80ARC020D0006
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
eye movements
human performance
neural function
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