Keywords
Brain-computer interface
Motor imagery
Machine learning
Motor imagery
Machine learning
How to Cite
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: 12 oct. 2026.
Abstract
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.
References
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.
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