Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient

Brain-Computer Interface (BCI) is a direct communication pathway between a human and external device. Integrated wheelchair controlled with human brainwave using a BCI system was designed and studied to help people with disabilities, especially for people who suffer from motor disorders such as peri...

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Bibliographic Details
Main Author:	Sahat, Norasyimah
Format:	Thesis
Language:	English English English
Published:	2020
Subjects:	QP351-495 Neurophysiology and neuropsychology
Online Access:	http://eprints.uthm.edu.my/1108/1/24p%20NORASYIMAH%20BINTI%20SAHAT.pdf http://eprints.uthm.edu.my/1108/2/NORASYIMAH%20BINTI%20SAHAT%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1108/3/NORASYIMAH%20BINTI%20SAHAT%20WATERMARK.pdf
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id	my-uthm-ep.1108
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spelling	my-uthm-ep.11082021-09-22T04:42:39Z Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient 2020-11 Sahat, Norasyimah QP351-495 Neurophysiology and neuropsychology Brain-Computer Interface (BCI) is a direct communication pathway between a human and external device. Integrated wheelchair controlled with human brainwave using a BCI system was designed and studied to help people with disabilities, especially for people who suffer from motor disorders such as peripheral nerves and muscles. The invention aims to develop an integrated wheelchair which can be controlled by a paralyzed person using only a single electrode. In this research, the efficiency of the brainwave integrated wheelchair has been improved using human attention value, blink detection and eyebrow movement of the user to control the wheelchair. An encephalography (EEG) device called Mindwave Mobile Plus (MW+) has been employed to obtain attention value for the wheelchair movement, eye blink to change the mode of the wheelchair to move forward (F), to the right (R), backward (B) and to the left (L). Eyebrow movement was used to stop the wheelchair when using human brainwave as the signal quality value of 26 or 51 is produced. Analysis on the human attention value in different gender and age category also has been done. Male is easier to focus compared to the female. Teenagers have the highest attention value followed by the children while the adults have the lowest attention value among all age categories studied. The EEG of the human were analyzed by using Arduino Integrated Development Environment (IDE) software. The development of the integrated wheelchair is improved by using human’s attention value, blink detection and eyebrow movement and the threshold value of the attention level was set according to the gender and age category of the user. From the results and analysis, the threshold value for male children is 60, male teenager (70), male adult (40) while for the female children is 50, female teenager (50) and female adult (30). 2020-11 Thesis http://eprints.uthm.edu.my/1108/ http://eprints.uthm.edu.my/1108/1/24p%20NORASYIMAH%20BINTI%20SAHAT.pdf text en public http://eprints.uthm.edu.my/1108/2/NORASYIMAH%20BINTI%20SAHAT%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/1108/3/NORASYIMAH%20BINTI%20SAHAT%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Applied Science and Technology
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	QP351-495 Neurophysiology and neuropsychology
spellingShingle	QP351-495 Neurophysiology and neuropsychology Sahat, Norasyimah Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient
description	Brain-Computer Interface (BCI) is a direct communication pathway between a human and external device. Integrated wheelchair controlled with human brainwave using a BCI system was designed and studied to help people with disabilities, especially for people who suffer from motor disorders such as peripheral nerves and muscles. The invention aims to develop an integrated wheelchair which can be controlled by a paralyzed person using only a single electrode. In this research, the efficiency of the brainwave integrated wheelchair has been improved using human attention value, blink detection and eyebrow movement of the user to control the wheelchair. An encephalography (EEG) device called Mindwave Mobile Plus (MW+) has been employed to obtain attention value for the wheelchair movement, eye blink to change the mode of the wheelchair to move forward (F), to the right (R), backward (B) and to the left (L). Eyebrow movement was used to stop the wheelchair when using human brainwave as the signal quality value of 26 or 51 is produced. Analysis on the human attention value in different gender and age category also has been done. Male is easier to focus compared to the female. Teenagers have the highest attention value followed by the children while the adults have the lowest attention value among all age categories studied. The EEG of the human were analyzed by using Arduino Integrated Development Environment (IDE) software. The development of the integrated wheelchair is improved by using human’s attention value, blink detection and eyebrow movement and the threshold value of the attention level was set according to the gender and age category of the user. From the results and analysis, the threshold value for male children is 60, male teenager (70), male adult (40) while for the female children is 50, female teenager (50) and female adult (30).
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Sahat, Norasyimah
author_facet	Sahat, Norasyimah
author_sort	Sahat, Norasyimah
title	Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient
title_short	Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient
title_full	Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient
title_fullStr	Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient
title_full_unstemmed	Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient
title_sort	wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Applied Science and Technology
publishDate	2020
url	http://eprints.uthm.edu.my/1108/1/24p%20NORASYIMAH%20BINTI%20SAHAT.pdf http://eprints.uthm.edu.my/1108/2/NORASYIMAH%20BINTI%20SAHAT%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1108/3/NORASYIMAH%20BINTI%20SAHAT%20WATERMARK.pdf
_version_	1747830738306203648

Wheelchair controlled by human brainwave using brain-computer interface system for paralyzed patient

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