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

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61 引用（Scopus）

摘要

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.

源语言	英语
文章编号	5936054
页（从-至）	46-53
页数	8
期刊	IEEE Intelligent Systems
卷	26
期	5
DOI	https://doi.org/10.1109/MIS.2011.58
出版状态	已出版 - 9月 2011
已对外发布	是

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AU - Fan, Dangping

AU - Zheng, Fang

AU - Jackson, Mike

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AB - 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.

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

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