Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain
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5th EAI International Conference on Wireless Mobile Communication and Healthcare – “Transforming healthcare through innovations in mobile and wireless technologies”, At London, Great Britain. Evdokimos Konstantinidis, Nicola Conci, Giorgos Bamparopoulos, Panagiotis D Bamidis
Abstract
The emergence of inexpensive off-the-shelf wireless EEG (electroencephalography) 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.Click here to read full report
5th EAI International Conference on Wireless Mobile Communication and Healthcare – “Transforming healthcare through innovations in mobile and wireless technologies”, At London, Great Britain. Evdokimos Konstantinidis, Nicola Conci, Giorgos Bamparopoulos, Panagiotis D Bamidis
Abstract
The emergence of inexpensive off-the-shelf wireless EEG (electroencephalography) 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.Click here to read full report
5th EAI International Conference on Wireless Mobile Communication and Healthcare – “Transforming healthcare through innovations in mobile and wireless technologies”, At London, Great Britain. Evdokimos Konstantinidis, Nicola Conci, Giorgos Bamparopoulos, Panagiotis D Bamidis
Abstract
The emergence of inexpensive off-the-shelf wireless EEG (electroencephalography) 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.Click here to read full report
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*Disclaimer – EMOTIV products are intended to be used for research applications and personal use only. Our products are not sold as Medical Devices as defined in EU directive 93/42/EEC. Our products are not designed or intended to be used for diagnosis or treatment of disease.
Note on Translations: Non-English versions of this website has been translated for your convenience using artificial intelligence. While we strive for accuracy, automated translations may contain errors or nuances that differ from the original text. For the most accurate information, please refer to the English version of this site.
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Company
© 2025 EMOTIV, All rights reserved.
Your Privacy Choices (Cookie Settings)
*Disclaimer – EMOTIV products are intended to be used for research applications and personal use only. Our products are not sold as Medical Devices as defined in EU directive 93/42/EEC. Our products are not designed or intended to be used for diagnosis or treatment of disease.
Note on Translations: Non-English versions of this website has been translated for your convenience using artificial intelligence. While we strive for accuracy, automated translations may contain errors or nuances that differ from the original text. For the most accurate information, please refer to the English version of this site.