Técnicas de clasificación para neuroseñales
DOI:
https://doi.org/10.22517/23447214.267Abstract
El desarrollo de una nueva interfaz de comunicación entre los humanos y las computadoras, por medio de ondas electroencefalográficas (EEG). Usa la extracción de características de señales EEG que permitan identificar una acción que el usuario desea realizar. La búsqueda de características se centra en parámetros en el dominio del tiempo y en el dominio de la frecuencia. Después de conocer estas técnicas, se presentan los primeros productos comerciales que utilizan esta tecnología, así como las características principales de dichos productosDownloads
Downloads
-
Vistas(Views): 414
- PDF (Español (España)) Descargas(Downloads): 390
Published
How to Cite
Issue
Section
License
Copyrights
The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:
In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.
The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright. Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.