IoT 16(8): e4

Research Article

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

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  • @ARTICLE{10.4108/eai.14-10-2015.2261698,
    author={Evdokimos Konstantinidis and Nicola Conci and Giorgos Bamparopoulos and Efstathios Sidiropoulos and Francesco De Natale and Panagiotis Bamidis},
    title={Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain},
    journal={EAI Endorsed Transactions on Internet of Things},
    volume={2},
    number={8},
    publisher={ACM},
    journal_a={IOT},
    year={2015},
    month={12},
    keywords={eeg, emotiv, internet of things, cross device, smart home},
    doi={10.4108/eai.14-10-2015.2261698}
}
  • Evdokimos Konstantinidis
    Nicola Conci
    Giorgos Bamparopoulos
    Efstathios Sidiropoulos
    Francesco De Natale
    Panagiotis Bamidis
    Year: 2015
    Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain
    IOT
    EAI
    DOI: 10.4108/eai.14-10-2015.2261698
Evdokimos Konstantinidis1,*, Nicola Conci2, Giorgos Bamparopoulos1, Efstathios Sidiropoulos3, Francesco De Natale2, Panagiotis Bamidis1
  • 1: Medical Physics Laboratory, Medical School, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece
  • 2: MEDIA Lab, DISI - University of Trento, Italy
  • 3: Northern Greece Neurofeedback Centre, Ag. Sofias 5, Thessaloniki Greece
*Contact email: evdokimosk@gmail.com

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.

Keywords
eeg, emotiv, internet of things, cross device, smart home
Published
2015-12-22
Publisher
ACM
http://dx.doi.org/10.4108/eai.14-10-2015.2261698

Copyright © 2015 E. Konstantinidis et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.