Zao, John K.Gan, Tchin TzeYou, Chun KaiMendez, Sergio Jose RodriguezChung, Cheng EnWang, Yu TeMullen, TimJung, Tzyy Ping2026-01-012026-01-019781479929474ORCID:/0000-0001-7203-8399/work/162948663https://hdl.handle.net/1885/733800108An 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.4enPublisher Copyright: © 2014 IEEE.Brain Computer InterfaceFog ComputingLinked DataMachine-to-Machine Communication2014-09-2510.1109/IE.2014.5484908631947