Augmented brain computer interaction based on fog computing and linked data

Authors

Zao, John K.
Gan, Tchin Tze
You, Chun Kai
Mendez, Sergio Jose Rodriguez
Chung, Cheng En
Wang, Yu Te
Mullen, Tim
Jung, Tzyy Ping

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Institute of Electrical and Electronics Engineers Inc.

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Abstract

An augmented brain computer interface that can detect users' brain states in real-life situations has been developed using wireless EEG headsets, smart phones and ubiquitous computing services. This kind of wearable natural user interfaces will have a wide-range of potential applications in future smart environments. This paper describes its ubiquitous system architecture and introduces its enabling technologies, which include machine-to-machine publish/subscribe protocols, multi-tier fog/cloud computing infrastructure and a linked data web. Its real-time responsiveness and easiness-of-use will be demonstrated by playing a multi-player on-line BCI game EEG Tractor Beam at the Intelligent Environment Conference.

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Proceedings - 2014 International Conference on Intelligent Environments, IE 2014

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