G
Gernot Müller-Putz
Researcher at Graz University of Technology
Publications - 382
Citations - 14836
Gernot Müller-Putz is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Brain–computer interface & Motor imagery. The author has an hindex of 59, co-authored 366 publications receiving 12634 citations. Previous affiliations of Gernot Müller-Putz include University of Graz.
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Journal ArticleDOI
Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.
José del R. Millán,Rüdiger Rupp,Gernot Müller-Putz,Rod Murray-Smith,Claudio Giugliemma,Michael Tangermann,Carmen Vidaurre,Febo Cincotti,Andrea Kübler,Robert Leeb,Christa Neuper,Klaus-Robert Müller,Donatella Mattia +12 more
TL;DR: This paper focuses on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT) and identifies four application areas where disabled individuals could greatly benefit from advancements inBCI technology, namely, “Communication and Control”, ‘Motor Substitution’, ”Entertainment” and “Motor Recovery”.
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Review of the BCI Competition IV
Michael Tangermann,Klaus-Robert Müller,Ad Aertsen,Niels Birbaumer,Christoph Braun,Christoph Braun,Clemens Brunner,Clemens Brunner,Robert Leeb,Carsten Mehring,Carsten Mehring,Kai J. Miller,Gernot Müller-Putz,Guido Nolte,Gert Pfurtscheller,Hubert Preissl,Hubert Preissl,Gerwin Schalk,Alois Schlögl,Carmen Vidaurre,Stephan Waldert,Stephan Waldert,Stephan Waldert,Benjamin Blankertz +23 more
TL;DR: The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide high quality neuroscientific data for open access to the scientific community and it is the hope that winning entries may enhance the analysis methods of future BCIs.
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Control of an Electrical Prosthesis With an SSVEP-Based BCI
TL;DR: It can be stated that the SSVEP-based BCI, operating in an asynchronous mode, is feasible for the control of neuroprosthetic devices with the flickering lights mounted on its surface.
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Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components
TL;DR: This study investigated how the classification accuracy of a 4-class BCI system can be improved by incorporating visually evoked harmonic oscillations and revealed that the use of three SSVEP harmonics yielded a significantly higher classification accuracy than was the case for one or two harmonics.
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Self-paced (asynchronous) BCI control of a wheelchair in virtual environments: a case study with a tetraplegic
Robert Leeb,Doron Friedman,Gernot Müller-Putz,Reinhold Scherer,Mel Slater,Gert Pfurtscheller +5 more
TL;DR: The aim of the present study was to demonstrate for the first time that brain waves can be used by a tetraplegic to control movements of his wheelchair in virtual reality (VR) using a single bipolar EEG recording.