T
Thorsten O. Zander
Researcher at Technical University of Berlin
Publications - 64
Citations - 3389
Thorsten O. Zander is an academic researcher from Technical University of Berlin. The author has contributed to research in topics: Cognition & Brain–computer interface. The author has an hindex of 22, co-authored 62 publications receiving 2889 citations. Previous affiliations of Thorsten O. Zander include Brandenburg University of Technology & National Research University – Higher School of Economics.
Papers
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Journal ArticleDOI
Towards passive brain-computer interfaces: applying brain-computer interface technology to human-machine systems in general
TL;DR: A unifying categorization of BCI-based applications, including the novel approach of passive BCI is proposed, which focuses on applications for healthy users, and the specific requirements and demands of this user group.
Journal ArticleDOI
The Hybrid BCI
Gert Pfurtscheller,Brendan Z. Allison,Clemens Brunner,Günther Bauernfeind,Teodoro Solis-Escalante,Reinhold Scherer,Thorsten O. Zander,Gernot Mueller-Putz,Christa Neuper,Niels Birbaumer +9 more
TL;DR: A hybrid BCI that simultaneously combines ERD and SSVEP BCIs is described, in which subjects could use a brain switch to control anSSVEP-based hand orthosis and about half the false positives encountered while using the SSVEp BCI alone are exhibited.
Book ChapterDOI
Enhancing Human-Computer Interaction with Input from Active and Passive Brain-Computer Interfaces
TL;DR: This chapter introduces a formal categorization of BCIs, according to their key characteristics within HCI scenarios, which comprises classical approaches, which are group into active and reactive BCIs and the new group of passive BCIs.
Journal ArticleDOI
Combining Eye Gaze Input With a Brain–Computer Interface for Touchless Human–Computer Interaction
TL;DR: A multimodal interface combining eye movements and a BCI to a hybrid BCI, resulting in a robust and intuitive device for touchless interaction that is capable of dealing with different stimulus complexities.
Journal ArticleDOI
A Dry EEG-System for Scientific Research and Brain–Computer Interfaces
Thorsten O. Zander,Moritz Lehne,Klas Ihme,Sabine Jatzev,Joao Correia,Christian Kothe,Bernd Picht,Femke Nijboer +7 more
TL;DR: The tested dry electrodes were capable to detect EEG signals with good quality and that these signals can be used for research or BCI applications and easy to handle electrodes may help to foster the use of EEG among a wider range of potential users.