Scientific Knowledge Database to Support Cybersickness Detection and Prevention
摘要
Exploring new data pre-processing features and techniques to improve the accuracy and generalizability of machine learning (ML) models is a concern, especially in the context of disease prevention and detection. We develop and make available a scientific knowledge base on ML methods and techniques applied to cybersickness detection and prevention. The proposed knowledge base is intended to support researchers and developers working on ML and cybersickness.