Scientific Knowledge Database to Support Cybersickness Detection and Prevention

Autor(es)

Franca, Milton ; Amaral, Angelo ; Rosa, Ferrucio de Franco ; Bonacin, Rodrigo

• Tipo de documento: Artigo Científico
• Fonte: VIRTUAL, AUGMENTED AND MIXED REALITY, PT I, VAMR 2024; v. 14706, p. 18-pg., 2024-01-01.

Resumo

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)

• Processo FAPESP: 21/11905-0 - Centro de Ciência, Tecnologia e Desenvolvimento para inovação em Medicina e Saúde: inLab.iNova
• Beneficiário: Giovanni Guido Cerri
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Ciência para o Desenvolvimento