Electrogastrogram-based detection of cybersickness with the application of wavelet transformation and machine learning: A case study

Electrogastrogram-based detection of cybersickness with the application of wavelet transformation and machine learning: A case study

Introduction/purpose: The application of virtual reality (VR) and simulation technologies in military training offers cost-effective and versatile approach to training enhancement. However, prevalence of cybersickness (CS), characterized by symptoms such as nausea, limits their widespread use. Metho...

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Bibliographic Details
Main Authors: Ilija V. Tanasković, Nenad B. Popović, Jaka J. Sodnik, Sašo J. Tomažič, Nadica S. Miljković
Format: Article
Language:English
Published: University of Defence in Belgrade 2025-01-01
Series:Vojnotehnički Glasnik
Subjects:
cybersickness
discrete wavelet transform
electrogastrography (egg)
feature selection
machine learning
military training
power spectral density
virtual reality
Online Access:https://scindeks.ceon.rs/article.aspx?artid=0042-84692501079T
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