Palavras-chave
Brain-computer interface
Motor imagery
Machine learning
Motor imagery
Machine learning
Como Citar
IIJIMA, Lucas; ATTUX, Romis. Implementation of a brain-computer interface based on motor imagery. Revista dos Trabalhos de Iniciação Científica da UNICAMP, Campinas, SP, n. 27, p. 1–1, 2019. DOI: 10.20396/revpibic2720191802. Disponível em: https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/1802. Acesso em: 18 mar. 2026.
Resumo
In this work, a Brain-Computer Interface based on motor imagery was implemented focusing on the signal processing stage. Methods based on machine learning were used along with feature selection techniques on the treatment and classification of data.
Referências
C. A. Stefano Filho, Performance analysis of graph metrics for assessing hand motor imagery tasks from electroencephalography data, Master’s Dissertation, UNICAMP, 2016.
I. Guyon, A. Elisseeff, “An Introduction to Variable and Feature Selection”, Journal of Machine Learning Research, Vol. 3, pp. 1157 – 1182, 2003.
I. Guyon, A. Elisseeff, “An Introduction to Variable and Feature Selection”, Journal of Machine Learning Research, Vol. 3, pp. 1157 – 1182, 2003.
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
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