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Machine Vision and Mechatronics in Practice pp 257–267Cite as

Encoding/Decoding Expressive EEG Signal Variability Using IAF/ASDM Technique towards EEG-Controlled Robotic System Development

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Abstract

EEG-controlled mechatronic and robotic systems provides additional flexibility and control option for both the disabled and able body persons. Providing adaptive control option through EEG as the source control signal requires efficient embedded technology system for EEG feature and artefact extraction toward robot motion control. The encoding and decoding of EEG signal allows for efficient EEG artefact extraction and selection in embedded systems.

This paper presents the decoding and encoding of expressive EEG signal recorded from physiological expressions. The EEG signals are generated from physiological expressions and provide the base signal in the analysis of EEG signal. Encoding and decoding of the Expressive EEG signal allowed for further development of robotic system motion control commands.

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Authors and Affiliations

  1. Discipline of Mechanical Engineering, University of KwaZulu-Natal, Durban, South Africa

    Chiemela Onunka, Glen Bright & Riaan Stopforth

Authors
  1. Chiemela Onunka
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  2. Glen Bright
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  3. Riaan Stopforth
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Corresponding author

Correspondence to Chiemela Onunka .

Editor information

Editors and Affiliations

  1. Faculty of Health, Engineering and Science, University of Southern Queensland, Toowoomba, Queensland, Australia

    John Billingsley

  2. Brunel Institute for Bioengineering Brunel University, London, United Kingdom

    Peter Brett

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Onunka, C., Bright, G., Stopforth, R. (2015). Encoding/Decoding Expressive EEG Signal Variability Using IAF/ASDM Technique towards EEG-Controlled Robotic System Development. In: Billingsley, J., Brett, P. (eds) Machine Vision and Mechatronics in Practice. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45514-2_21

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  • DOI: https://doi.org/10.1007/978-3-662-45514-2_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45513-5

  • Online ISBN: 978-3-662-45514-2

  • eBook Packages: EngineeringEngineering (R0)

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