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Electroencephalogram-Based Brain-Computer Interface for Internet of Robotic Things

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Cognitive Infocommunications, Theory and Applications

Part of the book series: Topics in Intelligent Engineering and Informatics ((TIEI,volume 13))

Abstract

Several papers focus on the IoT ranging from consumer oriented to industrial products. The IoT concept has become usual since the beginning of the 21st century and was introduced formally in 2005 [45, 53]. IoT gives the possibility for lots of uniquely addressable “things” to communicate and exchange information with each other over the existing network systems and protocols [1, 10, 15]. The IoT enables to make information detected by these objects transmittable, and the objects themselves controllable, by using the current network infrastructure [13, 18]. This provides the opportunity to integrate the physical world and IT systems in an even greater scale, which leads to the enhancement of efficiency, accuracy, and economics by minimal human intervention.

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Acknowledgements

The project is sponsored by EFOP-3.6.1-16-2016-00003 founds, Consolidate long-term R and D and I processes at the University of Dunaujvaros.

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Authors and Affiliations

  1. University of Dunaujvaros, Tancsics M. u. 1/A, Dunaujvaros, 2401, Hungary

    Jozsef Katona, Tibor Ujbanyi, Gergely Sziladi & Attila Kovari

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  1. Jozsef Katona
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  2. Tibor Ujbanyi
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  3. Gergely Sziladi
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  4. Attila Kovari
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Correspondence to Jozsef Katona .

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Editors and Affiliations

  1. Faculty of Electronics, Wrocław University of Science and Technology, Wrocław, Poland

    Ryszard Klempous

  2. Faculty of Electronics, Wrocław University of Science and Technology, Wrocław, Poland

    Jan Nikodem

  3. Széchenyi István University, Győr, Hungary

    Péter Zoltán Baranyi

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Katona, J., Ujbanyi, T., Sziladi, G., Kovari, A. (2019). Electroencephalogram-Based Brain-Computer Interface for Internet of Robotic Things. In: Klempous, R., Nikodem, J., Baranyi, P. (eds) Cognitive Infocommunications, Theory and Applications. Topics in Intelligent Engineering and Informatics, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-95996-2_12

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