Advanced man-machine interfaces (MMIs) are being developed for teleoperating robots at
remote and hardly accessible places. Such MMIs make use of a virtual environment and can …

Objective. Classifier transfers usually come with dataset shifts. To overcome dataset shifts in
practical applications, we consider the limitations in computational resources in this paper …

The classification of complex data usually requires the composition of processing steps.
Here, a major challenge is the selection of optimal algorithms for preprocessing and …

Previous occupational safety concepts in human-machine interaction scenarios are based
on the principle of spatial separation, reduction of collision force or distance monitoring …

The model of the one-class support vector machine (νoc-SVM) is based on the “origin
separation approach,” ie, to add a sample at the origin to the training data for the second …

Current autonomous robots and interfaces are far from exhibiting the adaptability of
biological beings regarding changes in their environment or during interaction. They are not …

The xDAWN algorithm is a well-established spatial filter which was developed to enhance
the signal quality of brain-computer interfaces for the detection of event-related potentials …

A major challenge in the classification of complex data, that requires the combination of
several processing steps, is the selection of the optimal algorithms for preprocessing and …

It is often the case that practical applications of support vector machines (SVMs) require the
capability to perform online learning under limited availability of computational resources …

The DFKI RIC and the Robotics Lab of the University of Bremen, Germany, build different
kinds of robots, like underwater robots, space robots, exoskeletons, robotic cars, rescue …