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Issue No. 05 - September/October (2011 vol. 26)
ISSN: 1541-1672
pp: 46-53
Dangping Fan , Lanzhou University, China
Philip Moore , Birmingham City University, UK
Dennis Majoe , Institute of Computer Systems, ETH Zurich, Switzerland
Bin Hu , Birmingham City University, UK, and Lanzhou University, China
Yanbing Qi , Lanzhou University, China
Fang Zheng , Lanzhou University, China
Martyn Ratcliffe , Birmingham City University, UK
Hong Peng , Lanzhou University, China
Mike Jackson , Birmingham City University, UK
Qinglin Zhao , Lanzhou University, China
Technical advances in the neuroelectric recordings and in the computational tools for the analysis of the brain activity and connectivity make it now possible to follow and to quantify, in real time, the interactive brain activity in a group of subjects engaged in social interactions. The degree of interaction between persons can then be assessed by "reading" their neuroelectric activities. Imaging the social brain can thus open a new area of study in neuroscience.
Intelligent Systems, brain informatics, EEG, cognitive interface, ubiquitous computing
Dangping Fan, Philip Moore, Dennis Majoe, Bin Hu, Yanbing Qi, Fang Zheng, Martyn Ratcliffe, Hong Peng, Mike Jackson, Qinglin Zhao, "EEG-Based Cognitive Interfaces for Ubiquitous Applications: Developments and Challenges", IEEE Intelligent Systems, vol. 26, no. , pp. 46-53, September/October 2011, doi:10.1109/MIS.2011.58
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