Abstract
In this study we developed a Graphical User Interface (GUI) to control a Brain-Computer Interface (BCI) by means of Event Related Potentials (ERP) and/or Motor Imagery (MI). It allows users to select actions to operate an upper-limb neuroprosthesis. The action’s selection is divided into 2 steps: choice and confirmation, which can be controlled using ERP or MI. We also present results of experiments with 12 participants who used this GUI and show that high performance is achieved with all possible combinations of paradigms. The GUI mode in which both the selection and confirmation steps use the ERP paradigm obtains the highest accuracy.
This work was funded by the grants EC FP7 ICT 2009-4-248326 (European Project MUNDUS), ICT-2008-216886 and by the BFNT - Bernstein Focus: Neurotechnology 01GQ0850 . This publication only reflects the author’s views. Funding agencies are not liable for any use that may be made of the information contained herein.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Pfurtscheller, G., Müller-Putz, G., Pfurtscheller, J., Rupp, R.: EEG-based asynchronous BCI controls functional electrical stimulation in a tetraplegic patient. EURASIP Journal on Applied Signal Processing, 3152–3155 (2005)
Tavella, M., Leeb, R., Rupp, R., del R. Millán, J.: Natural Non-Invasive Hand Neuroprosthesis. International Journal of Bioelectromagnetism 13 (2011)
Pascual, J., Velasco-Álvarez, F., Müller, K.-R., Vidaurre, C.: First study towards linear control of an upper-limb neuroprosthesis with an EEG-based brain-computer interface
Yuksel, B.F., Donnerer, M., Tompkin, J., Steed, A.: Novel P300 BCI Interfaces to Directly Select Physical and Virtual Objects
Blankertz, B., Dornhege, G., Krauledat, M., Schröder, M., Williamson, J., Murray-Smith, R., Müller, K.-R.: The Berlin Brain-Computer Interface Presents the Novel Typewriter Hex-O-Spell
Acqualagna, L., Blankertz, B.: A gaze independent speller based on rapid serial visual presentation. In: Conf. Proc. IEEE Eng. Med. Biol. Soc., p. 45603 (2011)
Blankertz, B., Lemm, S., Treder, M., Haufe, S., Müller, K.-R.: Single-trial analysis and classification of ERP components - a tutorial. NeuroImage 56, 814–825 (2010)
Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M., Müller, K.-R.: Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal Process. Mag. 25(1), 41–56 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pascual, J., Lorenz, R., Blankertz, B., Vidaurre, C. (2013). Hybrid EEG-Based BCI User Interface for Action Selection. In: Pons, J., Torricelli, D., Pajaro, M. (eds) Converging Clinical and Engineering Research on Neurorehabilitation. Biosystems & Biorobotics, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34546-3_193
Download citation
DOI: https://doi.org/10.1007/978-3-642-34546-3_193
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34545-6
Online ISBN: 978-3-642-34546-3
eBook Packages: EngineeringEngineering (R0)