Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Juan David Chailloux Peguero"'
Autor:
Juan David Chailloux Peguero, Luis G. Hernández-Rojas, Omar Mendoza-Montoya, Ricardo Caraza, Javier M. Antelis
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionBrain-Computer Interfaces (BCI) based on Steady-State Visually Evoked Potentials (SSVEP) have great potential for use in communication applications because of their relatively simple assembly and in some cases the possibility of bypassing
Externí odkaz:
https://doaj.org/article/04a2d01a6a864f33aee8ce55226b6817
Publikováno v:
Sensors, Vol 20, Iss 24, p 7198 (2020)
The P300 paradigm is one of the most promising techniques for its robustness and reliability in Brain-Computer Interface (BCI) applications, but it is not exempt from shortcomings. The present work studied single-trial classification effectiveness in
Externí odkaz:
https://doaj.org/article/a658f0e1448f4719a16d916ee4633c6a
Publikováno v:
IFMBE Proceedings ISBN: 9783030306472
The objective of this work is to automatically identify basic hand movements: Opening, Closing, Bending, Extension, Pronation and Supination, including the Resting condition. Feature extraction was implemented making use of three approaches: time, fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b287b0e206bae6fb84c0186554c96f0
https://doi.org/10.1007/978-3-030-30648-9_4
https://doi.org/10.1007/978-3-030-30648-9_4
Publikováno v:
Sensors
Volume 20
Issue 24
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 7198, p 7198 (2020)
Volume 20
Issue 24
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 7198, p 7198 (2020)
The P300 paradigm is one of the most promising techniques for its robustness and reliability in Brain-Computer Interface (BCI) applications, but it is not exempt from shortcomings. The present work studied single-trial classification effectiveness in