A Wireless Visual Attention Brain Signal Monitoring System
With the recent advances in the field of electroencephalography (EEG), researchers have been able to detect and predict cognitive states and patterns based on electromagnetic signals emitted by the brain with greater precision than ever before. EEG has become a viable means of implementing brain-com...
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2015-01-01
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Online Access: | http://dx.doi.org/10.1051/matecconf/20153204005 |
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doaj-db00a3d3afb14aa2adbec35fbf26e3152021-02-02T07:38:55ZengEDP SciencesMATEC Web of Conferences2261-236X2015-01-01320400510.1051/matecconf/20153204005matecconf_isot2015_04005A Wireless Visual Attention Brain Signal Monitoring SystemMassai Simone0Routhu Sudhamayee1Wright Dustin2Moon Kee S.3Ozturk Yusuf.4Lee Sung Q5San Diego State UniversitySan Diego State UniversitySan Diego State UniversitySan Diego State UniversitySan Diego State UniversityETRIWith the recent advances in the field of electroencephalography (EEG), researchers have been able to detect and predict cognitive states and patterns based on electromagnetic signals emitted by the brain with greater precision than ever before. EEG has become a viable means of implementing brain-computer-interfaces (BCIs), which translate brain signals into machine commands. We have developed a system with reconfigurable hardware and open architecture component based software to enable multi-sensor physiological signal monitoring. The goal of this research is to study the feasibility of using the system that can facilitate monitoring of visual attention EEG brain signal.http://dx.doi.org/10.1051/matecconf/20153204005 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Massai Simone Routhu Sudhamayee Wright Dustin Moon Kee S. Ozturk Yusuf. Lee Sung Q |
spellingShingle |
Massai Simone Routhu Sudhamayee Wright Dustin Moon Kee S. Ozturk Yusuf. Lee Sung Q A Wireless Visual Attention Brain Signal Monitoring System MATEC Web of Conferences |
author_facet |
Massai Simone Routhu Sudhamayee Wright Dustin Moon Kee S. Ozturk Yusuf. Lee Sung Q |
author_sort |
Massai Simone |
title |
A Wireless Visual Attention Brain Signal Monitoring System |
title_short |
A Wireless Visual Attention Brain Signal Monitoring System |
title_full |
A Wireless Visual Attention Brain Signal Monitoring System |
title_fullStr |
A Wireless Visual Attention Brain Signal Monitoring System |
title_full_unstemmed |
A Wireless Visual Attention Brain Signal Monitoring System |
title_sort |
wireless visual attention brain signal monitoring system |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2015-01-01 |
description |
With the recent advances in the field of electroencephalography (EEG), researchers have been able to detect and predict cognitive states and patterns based on electromagnetic signals emitted by the brain with greater precision than ever before. EEG has become a viable means of implementing brain-computer-interfaces (BCIs), which translate brain signals into machine commands. We have developed a system with reconfigurable hardware and open architecture component based software to enable multi-sensor physiological signal monitoring. The goal of this research is to study the feasibility of using the system that can facilitate monitoring of visual attention EEG brain signal. |
url |
http://dx.doi.org/10.1051/matecconf/20153204005 |
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