Applying machine learning to dissociate between stroke patients and healthy controls using eye movement features obtained from a virtual reality task

Applying machine learning to dissociate between stroke patients and healthy controls using eye movement features obtained from a virtual reality task

Conventional neuropsychological tests do not represent the complex and dynamic situations encountered in daily life. Immersive virtual reality simulations can be used to simulate dynamic and interactive situations in a controlled setting. Adding eye tracking to such simulations may provide highly de...

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Bibliographic Details
Main Authors: Veerle H.E.W. Brouwer, Sjoerd Stuit, Alex Hoogerbrugge, Antonia F. Ten Brink, Isabel K. Gosselt, Stefan Van der Stigchel, Tanja C.W. Nijboer
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Heliyon
Subjects:
Stroke
Cognitive assessment
Virtual reality
Eye tracking
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022004959

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http://www.sciencedirect.com/science/article/pii/S2405844022004959

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