@inproceedings{264aff2a200c42ff8238b4ad62de482c,
title = "Augmented brain computer interaction based on fog computing and linked data",
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.",
keywords = "Brain Computer Interface, Fog Computing, Linked Data, Machine-to-Machine Communication",
author = "Zao, {John K.} and Gan, {Tchin Tze} and You, {Chun Kai} and Mendez, {Sergio Jose Rodriguez} and Chung, {Cheng En} and Wang, {Yu Te} and Tim Mullen and Jung, {Tzyy Ping}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 10th International Conference on Intelligent Environments, IE 2014 ; Conference date: 30-06-2014 Through 04-07-2014",
year = "2014",
month = sep,
day = "25",
doi = "10.1109/IE.2014.54",
language = "English",
series = "Proceedings - 2014 International Conference on Intelligent Environments, IE 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "374--377",
editor = "Vic Callaghan and Liping Shen and Simon Egerton and Ruimin Shen and Jianbo Su and Augusto, {Juan Carlos} and Minjuan Wang and Minjuan Wang and Tongzhen Zhang",
booktitle = "Proceedings - 2014 International Conference on Intelligent Environments, IE 2014",
address = "United States",
}