Evaluation of consumer-grade wireless EEG systems for brain-computer interface applications
Author:
Funder
National Research Foundation of Korea
the National Program for Excellence in SW supervised by the IITP
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13534-024-00416-w.pdf
Reference15 articles.
1. McFarland DJ, Wolpaw JR. EEG-based brain–computer interfaces. Curr Opin Biomed Eng. 2017;4:194–200. https://doi.org/10.1016/j.cobme.2017.11.004.
2. Karikari E, Koshechkin KA. Review on brain-computer interface technologies in healthcare. Biophys Rev. 2023;15:1351–8. https://doi.org/10.1007/s12551-023-01138-6.
3. de Queiroz Cavalcanti D, Melo F, Silva T, Falcão M, Cavalcanti M, Becker V. Research on Brain-Computer interfaces in the Entertainment Field. In: Kurosu M, Hashizume A, editors. Human-Computer Interaction. Cham: Springer Nature Switzerland; 2023. pp. 404–15.
4. Yadav D, Yadav S, Veer K. A comprehensive assessment of Brain Computer interfaces: recent trends and challenges. J Neurosci Methods. 2020;346:108918. https://doi.org/10.1016/j.jneumeth.2020.108918.
5. Woo S, Lee J, Kim H, Chun S, Lee D, Gwon D, Ahn M. An Open source-based BCI application for virtual World Tour and its usability evaluation. Front Hum Neurosci. 2021;15:647839. https://doi.org/10.3389/fnhum.2021.647839.
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