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

Bin Hu; Dennis Majoe; Martyn Ratcliffe; Yanbing Qi; Qinglin Zhao; Hong Peng; Dangping Fan; Fang Zheng; Mike Jackson; Philip Moore

doi:10.1109/MIS.2011.58

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

Bin Hu^*, Dennis Majoe, Martyn Ratcliffe, Yanbing Qi, Qinglin Zhao, Hong Peng, Dangping Fan, Fang Zheng, Mike Jackson, Philip Moore

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

61 Citations (Scopus)

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.

Original language	English
Article number	5936054
Pages (from-to)	46-53
Number of pages	8
Journal	IEEE Intelligent Systems
Volume	26
Issue number	5
DOIs	https://doi.org/10.1109/MIS.2011.58
Publication status	Published - Sept 2011
Externally published	Yes

Keywords

EEG
Intelligent Systems
brain informatics
cognitive interface
ubiquitous computing

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10.1109/MIS.2011.58

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AU - Jackson, Mike

AU - Moore, Philip

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

Abstract

Keywords

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