Research
The Cognitive Systems Laboratory at the University of Bremen is working on innovative Silent Speech Interfaces, which allow humans to communicate with each other by speaking silently. [More…]
At the Cognitive Systems Lab, we are developing a number of systems aimed at people with dementia. [More…]
At the Cognitive Systems Lab we are using Near-Infrared Spectroscopy for innovative User Interfaces. [More…]
Speech is the most important natural human communication form. Thus, speech recognition is the most natural interface for app. [More…]
At the Cognitive Systems Lab, we investigate various research areas of multimodal human activity recognition, including software development and dataset acquisition, segmentation and annotation, feature extraction, feature dimensionality study, human activity modeling, iterative training and parameter tuning, real-time recognition system, among others. [More…]
This research investigates biosignal acquisition artifacts frequently occurring in experiments due to human negligence or environmental influences, such as electrode detachment, misuse of electrodes, unanticipated magnetic field interference, and signal distortion by human movements, which are not easily noticeable by experimenters or software during acquisition but can be discovered by ML in real-time. [More…]
At the Cognitive Systems Lab we use Ineartial Measurement Units (IMUs), as well as Electromyography (EMG) to recognize gestures for innovative user interfaces.. [More…]