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EEG based BCI using visual imagery task for robot control

The aim of this study is to detect the brain activation on scalp by Electroencephalogram (EEG) task-based for brain computer interface (BCI) using wirelessly control robot. EEG was measured in 8 normal subjects for control and task conditions. The objective is to determine one scalp location which w...

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Main Authors: Husnaini, Azmy, Mat Safri, Norlaili
格式: Article
语言:English
出版: Penerbit UTM 2013
主题:
TK Electrical engineering. Electronics Nuclear engineering
在线阅读:http://eprints.utm.my/id/eprint/50085/1/HusnainiAzmy2013_EEGbasedBCIusingvisual.pdf
http://eprints.utm.my/id/eprint/50085/
http://dx.doi.org/10.11113/jt.v61.1628
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id my.utm.50085
record_format eprints
spelling my.utm.500852018-09-30T08:17:08Z http://eprints.utm.my/id/eprint/50085/ EEG based BCI using visual imagery task for robot control Husnaini, Azmy Mat Safri, Norlaili TK Electrical engineering. Electronics Nuclear engineering The aim of this study is to detect the brain activation on scalp by Electroencephalogram (EEG) task-based for brain computer interface (BCI) using wirelessly control robot. EEG was measured in 8 normal subjects for control and task conditions. The objective is to determine one scalp location which will give signals that can be used to control the wireless robot using BCI and EEG, using non invasive and without subject training. In control condition subjects were ask to relax but in task condition, subjects were asked to imagine a star rotating clockwise at position 45 degrees direction pointed by the wireless robot where at this angle the target is located. At position 0 and 90 degree angle subjects were asked to relax since there is no target on that direction. Using EEG spectral power analysis and normalization, the optimum location for this task has been detected at position F8 which is in frontal cortex area and the rhythm happened at alpha frequency band. At this position, the signals from the brain should be able to drive the robot to the required direction by giving correct and accurate signals to robot moving towards target Penerbit UTM 2013 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/50085/1/HusnainiAzmy2013_EEGbasedBCIusingvisual.pdf Husnaini, Azmy and Mat Safri, Norlaili (2013) EEG based BCI using visual imagery task for robot control. Jurnal Teknologi (Sciences and Engineering), 61 (2 SUPP). pp. 7-11. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v61.1628 DOI: 10.11113/jt.v61.1628
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Husnaini, Azmy
Mat Safri, Norlaili
EEG based BCI using visual imagery task for robot control
description The aim of this study is to detect the brain activation on scalp by Electroencephalogram (EEG) task-based for brain computer interface (BCI) using wirelessly control robot. EEG was measured in 8 normal subjects for control and task conditions. The objective is to determine one scalp location which will give signals that can be used to control the wireless robot using BCI and EEG, using non invasive and without subject training. In control condition subjects were ask to relax but in task condition, subjects were asked to imagine a star rotating clockwise at position 45 degrees direction pointed by the wireless robot where at this angle the target is located. At position 0 and 90 degree angle subjects were asked to relax since there is no target on that direction. Using EEG spectral power analysis and normalization, the optimum location for this task has been detected at position F8 which is in frontal cortex area and the rhythm happened at alpha frequency band. At this position, the signals from the brain should be able to drive the robot to the required direction by giving correct and accurate signals to robot moving towards target
format Article
author Husnaini, Azmy
Mat Safri, Norlaili
author_facet Husnaini, Azmy
Mat Safri, Norlaili
author_sort Husnaini, Azmy
title EEG based BCI using visual imagery task for robot control
title_short EEG based BCI using visual imagery task for robot control
title_full EEG based BCI using visual imagery task for robot control
title_fullStr EEG based BCI using visual imagery task for robot control
title_full_unstemmed EEG based BCI using visual imagery task for robot control
title_sort eeg based bci using visual imagery task for robot control
publisher Penerbit UTM
publishDate 2013
url http://eprints.utm.my/id/eprint/50085/1/HusnainiAzmy2013_EEGbasedBCIusingvisual.pdf
http://eprints.utm.my/id/eprint/50085/
http://dx.doi.org/10.11113/jt.v61.1628
_version_ 1643652774695534592
score 13.251813

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