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Mexican International Conference on Artificial Intelligence

MICAI 2013: Advances in Soft Computing and Its Applications pp 413–422Cite as

Towards Reduced EEG Based Brain-Computer Interfacing for Mobile Robot Navigation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8266))

Abstract

Rapid development in highly parallel neurophysiological recording techniques along with sophisticated signal processing tools allow direct communication with neuronal processes at different levels. One important level from the point of view of Rehabilitation Engineering & Assistive Technology is to use the Electroencephalogram (EEG) signals to interface with assistive devices. This type of brain-computer interface (BCI) aims to reestablish the broken loop of the persons with motor dysfunction(s). However, with the growing availability of of instruments and processes for implementation, the BCI is also getting more complex. In this work, the authors present a model for reduced complexity BCI based on EEG signals through a few simple processes for automated navigation and control of robotic device. It is demonstrated that not only with few number of electrodes, but also using simple features like evoked responses caused by Saccadic eye movement can be used in building robust BCI for rehabilitation which may revolutionize the development of assitive devices for the disabled.

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Author information

Authors and Affiliations

  1. Theoretical Neurobiology & Neuroengineering Lab, Department of Biomedical Sciences, University of Antwerp, 2610, Wilrijk, Belgium

    Mufti Mahmud

  2. Institute of Information Technology, Jahangirnagar University, Savar, 1342, Dhaka, Bangladesh

    Mufti Mahmud

  3. Cognitive Signal Image and Control Processing Research (COSIPRA) Laboratory, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK

    Mufti Mahmud & Amir Hussain

Authors
  1. Mufti Mahmud
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  2. Amir Hussain
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Editor information

Editors and Affiliations

  1. Universidad Autónoma del Estado de Hidalgo, Ciudad Universitaria, Carretera Pachuca–Tulancingo km 4.5, Hidalgo, Mexico

    Félix Castro

  2. Centro de Investigación en Computación, Instituto Politécnico Nacional, Av. Juan Dios Bátiz s/n, Col. Nueva Industrial Vallejo, 07738, Mexico City, Mexico

    Alexander Gelbukh

  3. Tecnológico de Monterrey, Campus Estado de México, Carretera Lago de Guadalupe Km 3.5, Atizapán de Zaragoza, 52926, Estado de México, CP, Mexico

    Miguel González

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Mahmud, M., Hussain, A. (2013). Towards Reduced EEG Based Brain-Computer Interfacing for Mobile Robot Navigation. In: Castro, F., Gelbukh, A., González, M. (eds) Advances in Soft Computing and Its Applications. MICAI 2013. Lecture Notes in Computer Science(), vol 8266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45111-9_36

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  • DOI: https://doi.org/10.1007/978-3-642-45111-9_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45110-2

  • Online ISBN: 978-3-642-45111-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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