Robotics Innovation Center

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1. Sirko Straube; David Feess; Anett Seeland

   Learning from the past: post processing of classification scores to find a more accurate and earlier movement prediction

   In: Jose Luis Pons; Rovira Pedro Encarnacao; Ana Rita Londral (Hrsg.). Neurotechnology, Electronics, and Informatics: Revised Selected Papers from …

2. Mario Michael Krell; David Feess; Sirko Straube

   Balanced Relative Margin Machine -The missing piece between FDA and SVM classification

   In: Pattern Recognition Letters (PRL), Vol. 41, Pages 43-52, Elsevier, 5/2014.

3. Sirko Straube; Anett Seeland; David Feess

   Striving for better and earlier movement prediction by postprocessing of classification scores

   In: Proceedings of the Neurotechnix 2013. International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX-2013), September 18-20, …

4. Sirko Straube; David Feess

   Looking at ERPs from Another Perspective: Polynomial Feature Analysis

   In: Perception - ECVP Abstract Supplement. European Conference on Visual Perception (ECVP-2013), August 25-29, Bremen, Germany, Page 220, Vol. 42, …

5. David Feess; Mario Michael Krell; Jan Hendrik Metzen

   Comparison of Sensor Selection Mechanisms for an ERP-Based Brain-Computer Interface

   In: PLoS ONE, Vol. 8, No. 7, Page e67543, Public Library of Science, 7/2013.

6. Elsa Andrea Kirchner; Hendrik Wöhrle; Constantin Bergatt; Su-Kyoung Kim; Jan Hendrik Metzen; David Feess; Frank Kirchner

   Towards Operator Monitoring via Brain Reading - An EEG-based Approach for Space Applications

   In: Proceedings of the 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space. International Symposium on …

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