Non-invasive Brain Computer Interface

In our EEG Lab (Engesserstr. 4), we are working on the development of BCIs (Brain-Computer Interfaces) controlled by surface EEG signals.

The following figure shows examples of time-frequency analyzed EEG data, which can be obtained by real as well as imagined movement of the subject.


median vs. single trial EEG data

 

With the collaboration of the Faculty of Engineering, we are able to control robots in real time, using the internet to send the control signals.

 

BCI scheme

 

Looking into the future, our research is aiming to develop BCIs that can safely be used by locked-in and paralyzed patients to help them in their everyday life.

  

Publications:

  • Thomas Lampe, Lukas D. J. Fiederer, Martin Voelker, Alexander Knorr, Martin Riedmiller, Tonio Ball (2014),
    A Brain-Computer Interface for High-Level Remote Control of an Autonomous, Reinforcement-Learning-Based Robotic System for Reaching and Grasping.
    International Conference on Intelligent User Interfaces (IUI 2014). Haifa, Israel.

 

 

 

 
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