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Motor Outcomes of Repetitive Transcranial Magnetic Stimulation Are Dependent on the Specific Interneuron Circuit Targeted Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Switch Mode to Control a Wheelchair Through EEG Signals

Authors : F. Velasco-Álvarez, A. Fernández-Rodríguez, R. Ron-Angevin

Published in: Converging Clinical and Engineering Research on Neurorehabilitation II

Publisher: Springer International Publishing

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Abstract

This paper presents a switch strategy to control the movement of a Brain-Controlled Wheelchair. After the activation of a Motor Imagery task, an advance movement is started and kept until the same task stop it. This way, users with an unstable control of their EEG could be aided in handling the wheelchair.

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previous chapter Supervised + Unsupervised Classification for Human Pose Estimation with RGB-D Images: A First Step Towards a Rehabilitation System
next chapter The Biosignal C.A.O.S.: Reflections on the Usability of Physiological Sensing for Human-Computer Interaction Practitioners and Researchers
Literature
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L.A. Farwell, E. Donchin, Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Elec. Clin. Neurophysiol. 70(6), 510–523 (1988)CrossRef
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S. Varona-Moya et.al., Wheelchair navigation with an audio-cued, two-class motor imagery-based brain–computer interface system, in Proceedings of the 7th International IEEE EMBS Conference on Neural Engineering (NER, 2015)
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R. Ron-Angevin, A. Fernández-Rodríguez, F. Velasco-Álvarez, Brain-controlled wheelchair through discrimination of two mental tasks, in SAI Intelligent Systems Conference (2016, to be published)
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F. Velasco-Álvarez, R. Ron-Angevin, L. Da Silva-Sauer, S. Sancha-Ros, Brain-computer interface: comparison of two paradigms to freely navigate in a virtual environment through one mental task, in Proceedings of the IB2COM (2010)
Metadata
Title
Switch Mode to Control a Wheelchair Through EEG Signals
Authors
F. Velasco-Álvarez
A. Fernández-Rodríguez
R. Ron-Angevin
Copyright Year
2017
Book
Converging Clinical and Engineering Research on Neurorehabilitation II

Print ISBN: 978-3-319-46668-2

Electronic ISBN: 978-3-319-46669-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-46669-9_131