Elsa Andrea Kirchner
Elsa Andrea Kirchner
University of Bremen, Robotics Lab and DFKI Robotics Innovation Lab, Bremen, Germany
Bestätigte E-Mail-Adresse bei informatik.uni-bremen.de - Startseite
Zitiert von
Zitiert von
Exoskeleton technology in rehabilitation: Towards an EMG-based orthosis system for upper limb neuromotor rehabilitation
LM Vaca Benitez, M Tabie, N Will, S Schmidt, M Jordan, EA Kirchner
Journal of Robotics 2013, 2013
pySPACE—a signal processing and classification environment in Python
MM Krell, S Straube, A Seeland, H Wöhrle, J Teiwes, JH Metzen, ...
Frontiers in Neuroinformatics 7, 40, 2013
Measuring the improvement of the interaction comfort of a wearable exoskeleton
M Folgheraiter, M Jordan, S Straube, A Seeland, SK Kim, EA Kirchner
International Journal of Social Robotics 4 (3), 285-302, 2012
An adaptive spatial filter for user-independent single trial detection of event-related potentials
H Woehrle, MM Krell, S Straube, SK Kim, EA Kirchner, F Kirchner
IEEE Transactions on Biomedical Engineering 62 (7), 1696-1705, 2015
Multimodal movement prediction-towards an individual assistance of patients
EA Kirchner, M Tabie, A Seeland
PloS one 9 (1), e85060, 2014
Human force discrimination during active arm motion for force feedback design
S Feyzabadi, S Straube, M Folgheraiter, EA Kirchner, SK Kim, JC Albiez
IEEE Transactions on Haptics 6 (3), 309-319, 2013
On the applicability of brain reading for predictive human-machine interfaces in robotics
EA Kirchner, SK Kim, S Straube, A Seeland, H Wöhrle, MM Krell, M Tabie, ...
PloS one 8 (12), e81732, 2013
Effects of eye artifact removal methods on single trial P300 detection, a comparative study
F Ghaderi, SK Kim, EA Kirchner
Journal of neuroscience methods 221, 41-47, 2014
Intrinsic interactive reinforcement learning–Using error-related potentials for real world human-robot interaction
SK Kim, EA Kirchner, A Stefes, F Kirchner
Scientific reports 7 (1), 1-16, 2017
The capio active upper body exoskeleton and its application for teleoperation
M Mallwitz, N Will, J Teiwes, EA Kirchner
Proceedings of the 13th Symposium on Advanced Space Technologies in Robotics …, 2015
Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings
J de Gea Fernández, D Mronga, M Günther, T Knobloch, M Wirkus, ...
Robotics and Autonomous Systems 94, 102-119, 2017
Towards Assistive Robotics for Home Rehabilitation.
EA Kirchner, JC Albiez, A Seeland, M Jordan, F Kirchner
Biodevices, 168-177, 2013
Towards operator monitoring via brain reading–an EEG-based approach for space applications
EA Kirchner, H Woehrle, C Bergatt, SK Kim, JH Metzen, D Feess, ...
Proceedings of the 10th international symposium on artificial intelligence …, 2010
Online movement prediction in a robotic application scenario
A Seeland, H Woehrle, S Straube, EA Kirchner
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 41-44, 2013
An intelligent man-machine interface—multi-robot control adapted for task engagement based on single-trial detectability of P300
EA Kirchner, SK Kim, M Tabie, H Wöhrle, M Maurus, F Kirchner
Frontiers in human neuroscience 10, 291, 2016
EMG onset detection-comparison of different methods for a movement prediction task based on EMG
M Tabie, EA Kirchner
International Conference on Bio-inspired Systems and Signal Processing 2 …, 2013
A formal model for embedded brain reading
EA Kirchner, R Drechsler
Industrial Robot: An International Journal, 2013
Classifier transferability in the detection of error related potentials from observation to interaction
SK Kim, EA Kirchner
2013 IEEE international conference on systems, man, and cybernetics, 3360-3365, 2013
Handling few training data: classifier transfer between different types of error-related potentials
SK Kim, EA Kirchner
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (3 …, 2015
Towards learning of generic skills for robotic manipulation
JH Metzen, A Fabisch, L Senger, J de Gea Fernández, EA Kirchner
KI-Künstliche Intelligenz 28 (1), 15-20, 2014
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20