Implementation of a brain-computer interface based on motor imagery
n. 27 (2019), Resumos
n. 27 (2019)

Implementation of a brain-computer interface based on motor imagery

Resumos
https://doi.org/10.20396/revpibic2720191802
Publicado 2019-11-30
Lucas Iijima
Universidade Estadual de Campinas
Romis Attux
Universidade Estadual de Campinas
https://orcid.org/0000-0002-2961-4044
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Palavras-chave

Brain-computer interface
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.bc.unicamp.br/eventos/index.php/pibic/article/view/1802. Acesso em: 18 abr. 2024.
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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.

https://doi.org/10.20396/revpibic2720191802
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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.

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