@inproceedings{315e32ed10ed4bfe819ca11513f70095,
title = "Pervasive Neuroimaging with Fog Computing and Linked Data",
abstract = "A pilot system for performing real-time brain imaging in naturalistic environments have been developed using wireless EEG headsets, motion sensors, smart telephones and ubiquitous computing servers. This paper described its pervasive architecture and introduced its enabling technologies, which include machine-to-machine publish/subscribe protocols, interoperable data/meta-data formats, multi-tier fog/cloud computing infrastructure and semantic linked data web. A live demonstration of this system was first performed at the US Army Research Lab meeting in March 2013. An expanded system capable of supporting real-time brain state classification and continuous model calibration will soon be made available as a web services.",
keywords = "Brain-Computer Interfaces, Fog Computing",
author = "Zao, {John Kar Kin} and Gan, {Tchin Tze} and You, {Chun Kai} and Mendez, {Sergio Jose Rodreguez} and Chieh You and Chung, {Cheng En} and Wang, {Yu Te} and Tim Mullen and Christian Kothe and Hsiao, {Ching Teng} and Jung, {Tzyy Ping}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Computer Symposium, ICS 2016 ; Conference date: 15-12-2016 Through 17-12-2016",
year = "2017",
month = feb,
day = "16",
doi = "10.1109/ICS.2016.0148",
language = "English",
series = "Proceedings - 2016 International Computer Symposium, ICS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "719--722",
booktitle = "Proceedings - 2016 International Computer Symposium, ICS 2016",
address = "United States",
}