Model, Taxonomy and Methodology for Research Employing EEG-based BCI Games

  • Gabriel Alves Vasiljevic Mendes UFRN
  • Leonardo Cunha de Miranda UFRN

Resumo


The thesis summarized in this work presents a model for representing EEG-based BCI games, a taxonomy for classifying and comparing studies of the field, and a methodology for conducting scientific studies using those games. The model is intended to describe and develop new EEG games by instantiating its components. The CoDIS taxonomy considers four aspects of such games: concept, design, implementation and study, each with different dimensions to represent various of their characteristics. Based on the model and the taxonomy, the PIERSE methodology was developed for the planning, implementation, execution and reporting of scientific experiments using those games. The contributions of the thesis are detailed in various dimensions in this manuscript.
Palavras-chave: EEG-based BCI games, model, taxonomy, classification

Referências

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Publicado
06/11/2023
MENDES, Gabriel Alves Vasiljevic; MIRANDA, Leonardo Cunha de. Model, Taxonomy and Methodology for Research Employing EEG-based BCI Games. In: CONCURSO DE TESES E DISSERTAÇÕES – DOUTORADO - SIMPÓSIO BRASILEIRO DE JOGOS E ENTRETENIMENTO DIGITAL (SBGAMES), 22. , 2023, Rio Grande/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 1378-1383. DOI: https://doi.org/10.5753/sbgames_estendido.2023.235522.