Research Article
Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain
@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
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.
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.
