Event Details

Spontaneous electroencephalogram (EEG)-based ‘Plug and Play’ Brain-Computer Interfaces: Of usability and co-adaptation

This presentation will take you on a 10-year journey and tells you about the challenges and opportunities we have faced in developing spontaneous electroencephalogram (EEG)-based ‘Plug and Play’ Brain-Computer Interfaces (BCIs). The objective of a BCI is to translate EEG patterns into messages. BCI user generate EEG patterns by performing associated mental tasks that elicit different mental states. Which mental task is best? How to ensure user reliably generate these patterns? How to train the BCI to robustly detect the pattern? How to do this outside of the lab? How with patients? How fully automatically?

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Reinhold Scherer

Reinhold Scherer is professor of brain-computer interfaces and neural engineering in the School of Computer Science and Electronic Engineering at the University of Essex. He received M.Sc and Ph.D. degree in computer science from the Technische Universität Graz (TU-Graz), Austria. During his doctoral studies, he was member of the Graz-BCI lab at TU-Graz and worked on non-invasive EEG-based brain-computer interfaces (BCIs). He spend the years from 2008 to 2010 as postdoctoral researcher at the Department for Computer Science & Engineering, University of Washington, Seattle, USA, and was member of the Neural Systems and the Neurobotics Laboratories at the University of Washington. In 2010, he re-joined TU-Graz and the Graz-BCI lab as Assistant professor. He received his habilitation and became Associate professor in 2016. Since 2011, he was deputy director of the Institute of Neural Engineering at TU-Graz. Now he is the co-director of the Brain-Computer Interfaces and Neural Engineering (BCI-NE) laboratory at the University of Essex. His research interests include brain-computer interface, statistical and adaptive signal processing, mobile brain and body imaging, technology-mediated rehabilitation and assistive technologies.