EEG-based cognitive interfaces for ubiquitous applications: Developments and challenges

Hu, B. and Majoe, D. and Ratcliffe, M. and Qi, Y. and Zhao, Q. and Peng, H. and Fan, D. and Zheng, F. and Jackson, M. and Moore, P. (2011) EEG-based cognitive interfaces for ubiquitous applications: Developments and challenges. IEEE Intelligent Systems, 26 (5). pp. 46-53. ISSN 15411672 (ISSN)

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Abstract

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. © 2011 IEEE.

Item Type:	Article
Identification Number:	10.1109/MIS.2011.58
Dates:	Date Event September 2011 Published
Uncontrolled Keywords:	brain informatics, cognitive interface, EEG, Intelligent Systems, ubiquitous computing, Brain activity, cognitive interface, Computational tools, Degree of interaction, Informatics, Real time, Social interactions, Technical advances, Ubiquitous application, Intelligent systems, Ubiquitous computing, User interfaces, Brain
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science CAH11 - computing > CAH11-01 - computing > CAH11-01-03 - information systems
Divisions:	Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Hussen Farooq
Date Deposited:	20 Jul 2016 10:30
Last Modified:	03 Mar 2022 15:47
URI:	https://www.open-access.bcu.ac.uk/id/eprint/2102

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