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.
Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain / Konstantinidis, E. I.; Sidiropoulos, E. A.; Conci, N.; De Natale, F.; Bamparopoulos, G.; Bamidis, P. D.. - In: EAI ENDORSED TRANSACTIONS ON INTERNET OF THINGS. - ISSN 2414-1399. - 2:8(2015). ( 5th EAI International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare through Innovations in Mobile and Wireless Technologies, MOBIHEALTH 2015 gbr 2015) [10.4108/eai.14-10-2015.2261698].
Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain
Conci N.;De Natale F.;
2015-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
