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International Scientific Conference BCI 2018 Opole

BCI 2018: Biomedical Engineering and Neuroscience pp 141–149Cite as

Concept of Brain-Controlled Exoskeleton Based on Motion Tracking and EEG Signals Analysis

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 720))

Abstract

The article describes the possibilities of motion tracking and electroencephalography as the methods through creating a new type of powered exoskeleton control system. Modern motion tracking methods for three-dimensional space were presented with their advantages and disadvantages. Brain-computer interface was introduced as a possible control system for the robotic exoskeleton. Combined data model was proposed as the hypothetical solution based on electroencephalographic signals for the steering method.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, Automatic Control and Informatics, Institute of Computer Science, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland

    Andrzej Olczak

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  1. Andrzej Olczak
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Correspondence to Andrzej Olczak .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland

    Wojciech P. Hunek

  2. Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland

    Szczepan Paszkiel

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Olczak, A. (2018). Concept of Brain-Controlled Exoskeleton Based on Motion Tracking and EEG Signals Analysis. In: Hunek, W., Paszkiel, S. (eds) Biomedical Engineering and Neuroscience. BCI 2018. Advances in Intelligent Systems and Computing, vol 720. Springer, Cham. https://doi.org/10.1007/978-3-319-75025-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-75025-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75024-8

  • Online ISBN: 978-3-319-75025-5

  • eBook Packages: EngineeringEngineering (R0)

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