Scientific Knowledge Database to Support Cybersickness Detection and Prevention

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Author(s):	Franca, Milton ; Amaral, Angelo ; Rosa, Ferrucio de Franco ; Bonacin, Rodrigo Total Authors: 4
Document type:	Journal article
Source:	VIRTUAL, AUGMENTED AND MIXED REALITY, PT I, VAMR 2024; v. 14706, p. 18-pg., 2024-01-01.
Abstract
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. (AU)

FAPESP's process:	21/11905-0 - Center of Science, Technology and Development for innovation in Medicine and Health: inLab.iNova
Grantee:	Giovanni Guido Cerri
Support Opportunities:	Research Grants - Science Centers for Development