4/2012 - 7 |
New Methods of Detecting Voluntary Blinking Used to Communicate with Disabled PeopleBOZOMITU, R.-G. |
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Author keywords
communication technology, eye tracking, electromyogram, EOG, neuromotor disability
References keywords
communication(12), technology(10), cehan(10), system(9), people(9), control(8), gabriel(7), vlad(6), siitme(6), radu(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2012-11-30
Volume 12, Issue 4, Year 2012, On page(s): 47 - 52
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.04007
Web of Science Accession Number: 000312128400007
SCOPUS ID: 84872761479
Abstract
In this paper two new methods of detecting a voluntary blinking and neglecting involuntary blinks are comparatively presented. This technique is used to communicate with disabled people by using the EOG acquisition system. The proposed methods are based on Hilbert transform and envelope detection of the low frequency differential EOG signals. To safely detect voluntary blinking pulses, these methods use an adaptive threshold depending on the level of the low frequency EOG signal. The prototype of the proposed system has been designed, constructed and tested for different subjects from medical care centers, hospitals and treatment units. The experiments that we made with patients have confirmed the performing operation of the proposed EOG acquisition system. |
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[1] Remote Control of an Autonomous Robotic Platform Based on Eye Tracking, PASARICA, A., ANDRUSEAC, G. G., ADOCHIEI, I., ROTARIU, C., COSTIN, H., ADOCHIEI, F., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.04015 [CrossRef] [Full text]
[2] Integrated System Based on Wireless Sensors Network for Cardiac Arrhythmia Monitoring, ROTARIU, C., MANTA, V., CIOBOTARIU, R., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.01016 [CrossRef] [Full text]
[3] Online interaction method of mobile robot based on single-channel EEG signal and end-to-end CNN with residual block model, Lu, Yanzheng, Wang, Hong, Feng, Naishi, Jiang, Daqi, Wei, Chunfeng, Advanced Engineering Informatics, ISSN 1474-0346, Issue , 2022.
Digital Object Identifier: 10.1016/j.aei.2022.101595 [CrossRef]
[4] A new method for muscular visual fatigue detection using electrooculogram, Song, Mengchuang, Li, Lina, Guo, Jintao, Liu, Tian, Li, Shuyin, Wang, Yingtuo, Qurat ul ain, , Wang, Jue, Biomedical Signal Processing and Control, ISSN 1746-8094, Issue , 2020.
Digital Object Identifier: 10.1016/j.bspc.2020.101865 [CrossRef]
[5] New assistive technology for communicating with and telemonitoring disabled people, Bozomitu, Radu G., Cehan, Vlad, Lupu, Robert G., Rotariu, Cristian, 2014 IEEE 20th International Symposium for Design and Technology in Electronic Packaging (SIITME), ISBN 978-1-4799-6962-3, 2014.
Digital Object Identifier: 10.1109/SIITME.2014.6967002 [CrossRef]
[6] A New Pupil Detection Algorithm Based on Multiple Angular Integral Projection Functions, Bonteanu, Petronela, Bozomitu, Radu Gabriel, Cracan, Arcadie, Bonteanu, Gabriel, 2021 International Conference on e-Health and Bioengineering (EHB), ISBN 978-1-6654-4000-4, 2021.
Digital Object Identifier: 10.1109/EHB52898.2021.9657583 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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