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Cristian Raúl Barrera Monje ;Sistemas & Telemática 2016, 14 36

Author: José Salgado Patrón

Source: http://www.redalyc.org/articulo.oa?id=411545767001


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Sistemas & Telemática ISSN: 1692-5238 EditorSyT@icesi.edu.co Universidad ICESI Colombia Salgado Patrón, José; Barrera Monje, Cristian Raúl Emotiv EPOC BCI with Python on a Raspberry pi Sistemas & Telemática, vol.
14, núm.
36, 2016, pp.
27-38 Universidad ICESI Cali, Colombia Available in: http:--www.redalyc.org-articulo.oa?id=411545767001 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Salgado J.
& Barrera C.
(2016).
Emotiv EPOC BCI with Python on a Raspberry pi.
Sistemas & Telemática, 14(36), 27-38. Original Research - Articulo original - Tipo 1 Emotiv EPOC BCI with Python on a Raspberry pi José Salgado Patrón - josesalgadop@usco.edu.co - http:--orcid.org-0000-0003-2382-3774 Cristian Raúl Barrera Monje - u2005100288@usco.edu.co Universidad Surcolombiana, Neiva, Colombia ABSTRACT The hybrid Brain-Computer Interface [BCI] system gives an insight on the development of useful interfaces for users with different backgrounds, from medical applications to video games, where standalone and wearable means accessibility for the user.
Systems such as EPOC offers a simple solution for acquiring electroencephalography and electromyography signals with low price and fast setup, compared to high tech medical equipment.
From the processing point of view, a computer always offers the main foundation for solving any issue, as the Raspberry Pi [RPi] does, which provides the sufficient computational power for a BCI to be implemented and an open source operating system such as Raspbian.
Certainly a wireless communication is a must between the robot and the RPi, where an Xbee module gives a simple bidirectional connection.
Python is the principal tool used in the project with multiple libraries for the processing of brain and muscular si...





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