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Axel Gräser

Showing results (1-10 of 8) with videos related to

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IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|January 26, 2012
Building a safe care-providing robotLeila Fotoohi, Axel Gräser
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 23, 2010
Convolutional neural networks for P300 detection with application to brain-computer interfacesHubert Cecotti, Axel Gräser
IEEE Transactions on Bio-Medical Engineering|April 5, 2007
Multiple channel detection of steady-state visual evoked potentials for brain-computer interfacesOla Friman, Ivan Volosyak, Axel Gräser
Computational Intelligence and Neuroscience|February 1, 2013
Age-specific mechanisms in an SSVEP-based BCI scenario: evidences from spontaneous rhythms and neuronal oscillatorsJan Ehlers, Diana Valbuena, Anja Stiller, et al.
Journal of Neural Engineering|November 5, 2010
Brain-computer interface using water-based electrodesIvan Volosyak, Diana Valbuena, Tatsiana Malechka, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 23, 2011
BCI demographics II: how many (and what kinds of) people can use a high-frequency SSVEP BCI?Ivan Volosyak, Diana Valbuena, Thorsten Lüth, et al.
IEEE Transactions on Bio-Medical Engineering|February 24, 2010
An SSVEP-based brain-computer interface for the control of functional electrical stimulationHenrik Gollee, Ivan Volosyak, Angus J McLachlan, et al.
Assistive Technology : the Official Journal of RESNA|July 13, 2017
Usability and acceptability by a younger and older user group regarding a mobile robot-supported gait rehabilitation systemCornelia Eicher, Marten Haesner, Matthias Spranger, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|January 26, 2012
Building a safe care-providing robotLeila Fotoohi, Axel Gräser
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 23, 2010
Convolutional neural networks for P300 detection with application to brain-computer interfacesHubert Cecotti, Axel Gräser
IEEE Transactions on Bio-Medical Engineering|April 5, 2007
Multiple channel detection of steady-state visual evoked potentials for brain-computer interfacesOla Friman, Ivan Volosyak, Axel Gräser
Computational Intelligence and Neuroscience|February 1, 2013
Age-specific mechanisms in an SSVEP-based BCI scenario: evidences from spontaneous rhythms and neuronal oscillatorsJan Ehlers, Diana Valbuena, Anja Stiller, et al.
Journal of Neural Engineering|November 5, 2010
Brain-computer interface using water-based electrodesIvan Volosyak, Diana Valbuena, Tatsiana Malechka, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 23, 2011
BCI demographics II: how many (and what kinds of) people can use a high-frequency SSVEP BCI?Ivan Volosyak, Diana Valbuena, Thorsten Lüth, et al.
IEEE Transactions on Bio-Medical Engineering|February 24, 2010
An SSVEP-based brain-computer interface for the control of functional electrical stimulationHenrik Gollee, Ivan Volosyak, Angus J McLachlan, et al.
Assistive Technology : the Official Journal of RESNA|July 13, 2017
Usability and acceptability by a younger and older user group regarding a mobile robot-supported gait rehabilitation systemCornelia Eicher, Marten Haesner, Matthias Spranger, et al.
Pageof 1