VR Cybersickness Classification using Machine Learning Models on Open-Access EEG Datasets from the Human Vestibular Network

This paper addresses key challenges in EEG-based cybersickness classification using machine learning (ML) models. Despite significant research in this area four critical issues remain unresolved: 1) the availability of open-access EEG datasets; 2) imbalanced data distribution; 3) limited generalizability testing, and 4) insufficient exploration of personalized EEG data.