[HTML][HTML] A hybrid FPGA-based system for EEG-and EMG-based online movement prediction
A current trend in the development of assistive devices for rehabilitation, for example
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
[HTML][HTML] An intelligent man-machine interface—multi-robot control adapted for task engagement based on single-trial detectability of p300
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 …
remote and hardly accessible places. Such MMIs make use of a virtual environment and can …
Generalizing, decoding, and optimizing support vector machine classification
MM Krell - arXiv preprint arXiv:1801.04929, 2018 - arxiv.org
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 …
Here, a major challenge is the selection of optimal algorithms for preprocessing and …
Adaptive multimodal biosignal control for exoskeleton supported stroke rehabilitation
A Seeland, M Tabie, SK Kim, F Kirchner… - … on Systems, Man …, 2017 - ieeexplore.ieee.org
A relevant issue of neuro-interfacing wearable robots in rehabilitation is the necessity to
have training data, since the collection of sufficient data from patients within a reasonable …
have training data, since the collection of sufficient data from patients within a reasonable …
[PDF][PDF] Embedded brain reading
EA Kirchner - 2014 - core.ac.uk
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 …
biological beings regarding changes in their environment or during interaction. They are not …
[PDF][PDF] Labelling of movement onsets based on exoskeleton joint data
M Tabie, A Seeland, SK Kim, EA Kirchner - The First Biannual …, 2017 - core.ac.uk
Real-time analysis of neurophysiological measures for system control or adaptation by
means of supervised machine learning methods requires training data that is labelled for …
means of supervised machine learning methods requires training data that is labelled for …
[PDF][PDF] Embedded Brain Reading
EB Reading - dfki.de
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 …
kinds of robots, like underwater robots, space robots, exoskeletons, robotic cars, rescue …