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Authors: Mario Michael Krell 1 ; Hendrik Wöhrle 2 and Anett Seeland 2

Affiliations: 1 University of Bremen, Germany ; 2 Robotics Innovation Center and German Research Center for Artificial Intelligence GmbH, Germany

Keyword(s): xDAWN, Spatial Filtering, Online Learning, Electroencephalogram, Event-Related Potential, Brain-Computer Interface

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Instruments and Devices ; Biomedical Signal Processing ; Brain-Computer Interfaces ; Data Manipulation ; Devices ; EMG Signal Processing and Applications ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; NeuroSensing and Diagnosis ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: 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. Recently, an adaptive version has been introduced. Here, we present an improved version that incorporates regularization to reduce the influence of noise and avoid overfitting. We show that regularization improves the performance significantly for up to 4%, when little data is available as it is the case when the brain-computer interface should be used without or with a very short prior calibration session.

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Paper citation in several formats:
Michael Krell, M.; Wöhrle, H. and Seeland, A. (2015). raxDAWN: Circumventing Overfitting of the Adaptive xDAWN. In Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX, ISBN 978-989-758-161-8, pages 68-75. DOI: 10.5220/0005657500680075

@conference{neurotechnix15,
author={Mario {Michael Krell}. and Hendrik Wöhrle. and Anett Seeland.},
title={raxDAWN: Circumventing Overfitting of the Adaptive xDAWN},
booktitle={Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX,},
year={2015},
pages={68-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005657500680075},
isbn={978-989-758-161-8},
}

TY - CONF

JO - Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX,
TI - raxDAWN: Circumventing Overfitting of the Adaptive xDAWN
SN - 978-989-758-161-8
AU - Michael Krell, M.
AU - Wöhrle, H.
AU - Seeland, A.
PY - 2015
SP - 68
EP - 75
DO - 10.5220/0005657500680075

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