Issue |
MATEC Web of Conferences
Volume 32, 2015
International Symposium of Optomechatronics Technology (ISOT 2015)
|
|
---|---|---|
Article Number | 04005 | |
Number of page(s) | 6 | |
Section | Optomechatronics for Bio-Medical Applications | |
DOI | https://doi.org/10.1051/matecconf/20153204005 | |
Published online | 02 December 2015 |
A Wireless Visual Attention Brain Signal Monitoring System
1 San Diego State University, California, USA
2 ETRI, Daejon, S. Korea
a Corresponding author: kmoon@mail.sdsu.edu
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.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.