Detection of eye blinks from eeg signals for home lighting system activation

The improvement in the development of lighting system has not considered eye blinking activity as a parameter to activate the system. In addition, the use of eye blink extracted from EEG signal has not been investigated. This study examines a suitable eye activity for activating home lighting system...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009
المؤلف الرئيسي: 2-s2.0-70449635582
التنسيق: Conference paper
اللغة:English
منشور في: 2009
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449635582&doi=10.1109%2fISMA.2009.5164828&partnerID=40&md5=ae588430c4edf160e2e8bc50684c89db
id Rani M.S.B.A.; Wahidah B.T.M.
spelling Rani M.S.B.A.; Wahidah B.T.M.
2-s2.0-70449635582
Detection of eye blinks from eeg signals for home lighting system activation
2009
2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009


10.1109/ISMA.2009.5164828
https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449635582&doi=10.1109%2fISMA.2009.5164828&partnerID=40&md5=ae588430c4edf160e2e8bc50684c89db
The improvement in the development of lighting system has not considered eye blinking activity as a parameter to activate the system. In addition, the use of eye blink extracted from EEG signal has not been investigated. This study examines a suitable eye activity for activating home lighting system and then detects the occurrence of this activity from EEG signals. Two types of eye activity were analysed; eye blinks and eye movements. It was found that EEG signal obtained from voluntary eye blink condition produces clearer signals with larger amplitude than that obtained from eye movements. An efficient algorithm for detecting the occurrence of eye blinks was then developed and its performance was investigated. Using this algorithm, the required eye blinks could be detected successfully from 85% of the records. Results from this study show that with proper filtering and accurate detection, the eye blinks could be used for activating home lighting system. © 2009 IEEE.


English
Conference paper

author 2-s2.0-70449635582
spellingShingle 2-s2.0-70449635582
Detection of eye blinks from eeg signals for home lighting system activation
author_facet 2-s2.0-70449635582
author_sort 2-s2.0-70449635582
title Detection of eye blinks from eeg signals for home lighting system activation
title_short Detection of eye blinks from eeg signals for home lighting system activation
title_full Detection of eye blinks from eeg signals for home lighting system activation
title_fullStr Detection of eye blinks from eeg signals for home lighting system activation
title_full_unstemmed Detection of eye blinks from eeg signals for home lighting system activation
title_sort Detection of eye blinks from eeg signals for home lighting system activation
publishDate 2009
container_title 2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009
container_volume
container_issue
doi_str_mv 10.1109/ISMA.2009.5164828
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449635582&doi=10.1109%2fISMA.2009.5164828&partnerID=40&md5=ae588430c4edf160e2e8bc50684c89db
description The improvement in the development of lighting system has not considered eye blinking activity as a parameter to activate the system. In addition, the use of eye blink extracted from EEG signal has not been investigated. This study examines a suitable eye activity for activating home lighting system and then detects the occurrence of this activity from EEG signals. Two types of eye activity were analysed; eye blinks and eye movements. It was found that EEG signal obtained from voluntary eye blink condition produces clearer signals with larger amplitude than that obtained from eye movements. An efficient algorithm for detecting the occurrence of eye blinks was then developed and its performance was investigated. Using this algorithm, the required eye blinks could be detected successfully from 85% of the records. Results from this study show that with proper filtering and accurate detection, the eye blinks could be used for activating home lighting system. © 2009 IEEE.
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language English
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