Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain

Authors

  • Evdokimos Konstantinidis Aristotle University of Thessaloniki image/svg+xml
  • Nicola Conci University of Trento image/svg+xml
  • Giorgos Bamparopoulos Aristotle University of Thessaloniki image/svg+xml
  • Efstathios Sidiropoulos Northern Greece Neurofeedback Centre
  • Francesco De Natale University of Trento image/svg+xml
  • Panagiotis Bamidis Aristotle University of Thessaloniki image/svg+xml

DOI:

https://doi.org/10.4108/eai.14-10-2015.2261698

Keywords:

eeg, emotiv, internet of things, cross device, smart home

Abstract

The emergence of inexpensive off-the-shelf wireless EEG devices led researchers to explore novel paradigms in the field of Human Computer Interaction. In fact, the compliance of these devices with the IoT principles towards pervasive EEG signaling in smart home environments enables new models of interaction and a different perspective from traditional affective computing. In this paper, the implementation of wireless EEG (Emotiv EPOC and Mindawave) IoT connectivity of real time raw signals, through IoT hardware devices and through the Raspberry Pi 2, is presented.

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Published

22-12-2015

How to Cite

[1]
E. . Konstantinidis, N. . Conci, G. . Bamparopoulos, E. . Sidiropoulos, F. . De Natale, and P. . Bamidis, “Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain”, EAI Endorsed Trans IoT, vol. 2, no. 8, p. e4, Dec. 2015.

Issue

Vol. 2 No. 8 (2016): EAI Endorsed Transactions on Internet of Things

Section

Research article

License

Copyright (c) 2015 EAI Endorsed Transactions on Internet of Things

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.