Search Results - "Millán, J del R"

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  1. 1

    A brain-actuated wheelchair: Asynchronous and non-invasive Brain–computer interfaces for continuous control of robots by Galán, F, Nuttin, M, Lew, E, Ferrez, P.W, Vanacker, G, Philips, J, Millán, J. del R

    Published in Clinical neurophysiology (01-09-2008)
    “…Abstract Objective To assess the feasibility and robustness of an asynchronous and non-invasive EEG-based Brain–Computer Interface (BCI) for continuous mental…”
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    Journal Article
  2. 2

    An online EEG BCI based on covert visuospatial attention in absence of exogenous stimulation by Tonin, L, Leeb, R, Sobolewski, A, Millán, J del R

    Published in Journal of neural engineering (01-10-2013)
    “…In this work we present--for the first time--the online operation of an electroencephalogram (EEG) brain-computer interface (BCI) system based on covert…”
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    Journal Article
  3. 3

    Time-dependent approach for single trial classification of covert visuospatial attention by Tonin, L, Leeb, R, Del R Millán, J

    Published in Journal of neural engineering (01-08-2012)
    “…Recently, several studies have started to explore covert visuospatial attention as a control signal for brain-computer interfaces (BCIs). Covert visuospatial…”
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    Journal Article
  4. 4

    Error-Related EEG Potentials Generated During Simulated Brain-Computer Interaction by Ferrez, Pierre W., del R. Millan, JosÉ

    “…Brain-computer interfaces (BCIs) are prone to errors in the recognition of subject's intent. An elegant approach to improve the accuracy of BCIs consists in a…”
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    Journal Article
  5. 5

    EEG-based Brain-Computer Interface to support post-stroke motor rehabilitation of the upper limb by Cincotti, F., Pichiorri, F., Arico, P., Aloise, F., Leotta, F., de Vico Fallani, F., del R Millan, J., Molinari, M., Mattia, D.

    “…Brain-Computer Interfaces (BCIs) process brain activity in real time, and mediate non-muscular interaction between and individual and the environment. The…”
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    Conference Proceeding Journal Article
  6. 6

    A local neural classifier for the recognition of EEG patterns associated to mental tasks by del R Millan, J., Mourino, J., Franze, M., Cincotti, F., Varsta, M., Heikkonen, J., Babiloni, F.

    Published in IEEE transactions on neural networks (01-05-2002)
    “…This paper proposes a novel and simple local neural classifier for the recognition of mental tasks from on-line spontaneous EEG signals. The proposed neural…”
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    Journal Article
  7. 7

    Fast Recognition of Anticipation-Related Potentials by Gangadhar $^$, Garipelli, Chavarriaga, Ricardo, MillÁn, JosÉ del R.

    “…Anticipation increases the efficiency of daily tasks by partial advance activation of neural substrates involved in it. Here, we develop a method for the…”
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    Journal Article
  8. 8

    Interaction and evaluation of an augmented virtuality assistance system for teleoperated robots by Sanguino, T. J. M., Marquez, J. M. A., Carlson, T., del R Millan, J.

    “…This paper presents the main features and capabilities of a developed system based on augmented virtuality (AV), which is devoted to the assisted navigation of…”
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    Conference Proceeding
  9. 9

    Noninvasive brain-actuated control of a mobile robot by human EEG by Millan, Jd.R., Renkens, F., Mourino, J., Gerstner, W.

    “…Brain activity recorded noninvasively is sufficient to control a mobile robot if advanced robotics is used in combination with asynchronous…”
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    Journal Article
  10. 10

    Asynchronous non-invasive brain-actuated control of an intelligent wheelchair by Millan, J.d.R., Galan, F., Vanhooydonck, D., Lew, E., Philips, J., Nuttin, M.

    “…In this paper we present further results of our asynchronous and non-invasive BMI for the continuous control of an intelligent wheelchair. Three subjects…”
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    Conference Proceeding Journal Article
  11. 11

    Characterizing the EEG Correlates of Exploratory Behavior by Bourdaud, Nicolas, Chavarriaga, Ricardo, Galan, Ferran, Millan, JosÉ del R.

    “…This study aims to characterize the electroencephalography (EEG) correlates of exploratory behavior. Decision making in an uncertain environment raises a…”
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    Journal Article
  12. 12

    Classification of EEG mental patterns by using two scalp electrodes and Mahalanobis distance-based classifiers by Cincotti, F, Mattia, D, Babiloni, C, Carducci, F, Bianchi, L, del R Millán, J, Mouriño, J, Salinari, S, Marciani, M G, Babiloni, F

    “…In this paper, we explored the use of quadratic classifiers based on Mahalanobis distance to detect mental EEG patterns from a reduced set of scalp recording…”
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  13. 13

    Learning reaching strategies through reinforcement for a sensor-based manipulator by MARTIN, P, DEL R. MILLAN, J

    Published in Neural networks (31-03-1998)
    “…This paper presents a neural controller that learns goal-oriented obstacle-avoiding reaction strategies for a multilink robot arm. It acquires these strategies…”
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  14. 14

    Brain-Controlled Wheelchairs: A Robotic Architecture by Carlson, T., del R Millan, J.

    Published in IEEE robotics & automation magazine (01-03-2013)
    “…Independent mobility is central to being able to perform activities of daily living by oneself. However, power wheelchairs are not an option for many people…”
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    Journal Article
  15. 15

    Detection of anticipatory brain potentials during car driving by Khaliliardali, Z., Chavarriaga, R., Gheorghe, Lucian Andrei, del Millan, J. R.

    “…Recognition of driver's intention from electroencephalogram (EEG) can be helpful in developing an in-car brain computer interface (BCI) systems for intelligent…”
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    Conference Proceeding Journal Article
  16. 16

    Recognition of imagined hand movements with low resolution surface Laplacian and linear classifiers by Babiloni, Fabio, Cincotti, Febo, Bianchi, Luigi, Pirri, Giada, del R. Millán, José, Mouriño, Josep, Salinari, Serenella, Grazia Marciani, Maria

    Published in Medical engineering & physics (01-06-2001)
    “…EEG-based Brain Computer Interfaces (BCIs) require on-line detection of mental states from spontaneous EEG signals. In this framework, it was suggested that…”
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    Journal Article
  17. 17

    Towards a robust BCI: error potentials and online learning by Buttfield, A., Ferrez, P.W., Millan, Jd.R.

    “…Recent advances in the field of brain-computer interfaces (BCIs) have shown that BCIs have the potential to provide a powerful new channel of communication,…”
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    Journal Article
  18. 18

    Benchmarking classification techniques using the Opportunity human activity dataset by Sagha, H., Digumarti, S. T., del Millan, J. R., Chavarriaga, R., Calatroni, A., Roggen, D., Troster, G.

    “…Human activity recognition is a thriving research field. There are lots of studies in different sub-areas of activity recognition proposing different methods…”
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    Conference Proceeding
  19. 19

    The role of shared-control in BCI-based telepresence by Tonin, L, Leeb, R, Tavella, M, Perdikis, S, del R Millan, J

    “…This paper discusses and evaluates the role of shared control approach in a BCI-based telepresence framework. Driving a mobile device by using human brain…”
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    Conference Proceeding
  20. 20

    Neural Engineering: EPFL Center for Neuroprosthetics by Del R. Millan, Jose

    “…The aim of the study is to create an ecosystem of affiliated laboratories that develops synergies within and around the Center for Neuroprosthetics that goes…”
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    Journal Article