Machine learning methods for the study of cybersickness: a systematic review

Machine learning methods for the study of cybersickness: a systematic review

Abstract This systematic review offers a world-first critical analysis of machine learning methods and systems, along with future directions for the study of cybersickness induced by virtual reality (VR). VR is becoming increasingly popular and is an important part of current advances in human train...

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Bibliographic Details
Main Authors: Alexander Hui Xiang Yang, Nikola Kasabov, Yusuf Ozgur Cakmak
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Brain Informatics
Subjects:
Cybersickness
Detection
Prediction
Biometrics
Physiological
Review
Online Access:https://doi.org/10.1186/s40708-022-00172-6

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