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

Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2016, Vol 2, Issue 8

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.

Authors and Affiliations

Evdokimos Konstantinidis, Nicola Conci, Giorgos Bamparopoulos, Efstathios Sidiropoulos, Francesco De Natale, Panagiotis Bamidis

Keywords

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  • EP ID EP46490
  • DOI http://dx.doi.org/10.4108/eai.14-10-2015.2261698
  • Views 309
  • Downloads 0

How To Cite

Evdokimos Konstantinidis, Nicola Conci, Giorgos Bamparopoulos, Efstathios Sidiropoulos, Francesco De Natale, Panagiotis Bamidis (2016). Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain. EAI Endorsed Transactions on Internet of Things, 2(8), -. https://europub.co.uk/articles/-A-46490