Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Buttfield, Anna"'
Autor:
Menon, Carlo, de Negueruela, Cristina, Millán, José del R., Tonet, Oliver, Carpi, Federico, Broschart, Michael, Ferrez, Pierre, Buttfield, Anna, Tecchio, Franca, Sepulveda, Francisco, Citi, Luca, Laschi, Cecilia, Tombini, Mario, Dario, Paolo, Maria Rossini, Paolo, De Rossi, Danilo
Publikováno v:
In Acta Astronautica 2009 64(4):448-456
Autor:
del R. Millán, José, Buttfield, Anna, Vidaurre, Carmen, Cabeza, Rafael, Krauledat, Matthias, Blankertz, Benjamin, Müller, Klaus-Robert, Schlögl, Alois, Pfurtscheller, Gert, Shenoy, Pradeep, Rao, Rajesh P. N.
Publikováno v:
Toward Brain-Computer Interfacing; 2007, p303-325, 23p
Publikováno v:
Toward Brain-Computer Interfacing; 2007, p103-110, 8p
Akademický článek
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In recent years a number of non-invasive Brain-Computer Interfaces have been developed that determine the intent of a subject by analysing the Electroencephalograph(EEG) signals up to frequencies of 40Hz. The use of high frequency EEG features have r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::ccb80b17dccb3834dc3d19aaef297b59
https://infoscience.epfl.ch/record/145948
https://infoscience.epfl.ch/record/145948
Autor:
Lew, Eileen, Nuttin, Marnix, Ferrez, Pierre W., Degeest, A., Buttfield, Anna, Vanacker, G., Millán, José del R.
This poster presents results obtained from experiments of driving a brain-actuated simulated wheelchair that incorporates the shared-control intelligence method. The simulated wheelchair is controlled offline using band power features. The task is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::fd84bb82c9da79f2d19b5256851537be
https://infoscience.epfl.ch/record/146115
https://infoscience.epfl.ch/record/146115
Autor:
Menon, C., de Negueruela, Christina, Millán, José del R., Tonet, O., Carpi, F., Broschart, M., Ferrez, Pierre W., Buttfield, Anna, Dario, P., Citi, L., Laschi, C., Tombini, M., Sepulveda, F., Poli, R., Palaniappan, R., Tecchio, F., Rossini, P. M., de Rossi, D.
The dream of controlling and guiding computer-based systems using human brain signals has slowly but steadily become a reality. The available technology allows real-time implementation of systems that measure neuronal activity, convert their signals,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::88415e28872b3eef7d8b86df71bc7a09
https://infoscience.epfl.ch/record/146153
https://infoscience.epfl.ch/record/146153
Autor:
Ferrez, Pierre W., Galán, Ferran, Buttfield, Anna, González Andino, S. L., Grave de Peralta, R., Millán, José del R.
Non-invasive brain-computer interfaces are traditionally based on mu rhythms, beta rhythms, slow cortical potentials or P300 event-related potentials. However, there is mounting evidence that neural oscillations up to 200 Hz play important roles in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::635eb36d3149b5402f952e4ca9ac56a7
https://infoscience.epfl.ch/record/145984
https://infoscience.epfl.ch/record/145984
Autor:
Buttfield, Anna, Millán, José del R.
Brain-computer interfaces (BCIs) aim to provide a new channel of communication by enabling the subject to control an external systems by using purely mental commands. One method of doing this without invasive surgical procedures is by measuring the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::b4cdb4bedaf7cb9a85b22775cda25374
https://infoscience.epfl.ch/record/85978
https://infoscience.epfl.ch/record/85978
In this paper we give an overview of our work on a self-pace asynchronous BCI that responds every 0.5 seconds. A statistical Gaussian classifier tries to recognize three different mental tasks; it may also respond unknown for uncertain samples as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::93d12a63111da583f4b7559642bbb10b
https://infoscience.epfl.ch/record/146156
https://infoscience.epfl.ch/record/146156