Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)

Biomedical technology has now been widely adopted as a means of monitoring the human body in real-time. For example, to detect eye movement. In the medical world, eye movement can be used to determine the type of disease. With the application of human-machine interface (HMI) technology, eyeball move...

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Autores principales:	Kemahyanto Exaudi, Rendyansyah Rendyansyah, Aditya Putra Perdana Prasetyo
Formato:	article
Lenguaje:	EN ID
Publicado:	P3M Politeknik Negeri Banjarmasin 2021
Materias:	bluetooth elektroda electrooculography robot beroda Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/df7d29fd54d94339b76d255f8e690a6f
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spelling	oai:doaj.org-article:df7d29fd54d94339b76d255f8e690a6f2021-12-02T15:02:38ZKontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)2598-32452598-328810.31961/eltikom.v5i2.464https://doaj.org/article/df7d29fd54d94339b76d255f8e690a6f2021-09-01T00:00:00Zhttps://eltikom.poliban.ac.id/index.php/eltikom/article/view/464https://doaj.org/toc/2598-3245https://doaj.org/toc/2598-3288Biomedical technology has now been widely adopted as a means of monitoring the human body in real-time. For example, to detect eye movement. In the medical world, eye movement can be used to determine the type of disease. With the application of human-machine interface (HMI) technology, eyeball movement can be developed in the robotics industry as robot navigation. For example, by moving the eyeball left and right, the robot can interpret the eye signal to move left and right. The interaction between the eyeball movement and the robot is of particular concern in this study. This study aimed to design a measuring instrument for eye movement detection using Electrooculography (EOG) techniques to move a wheeled robot. The EOG measuring instrument consisting of an instrument differential amplifier, a low pass filter, and a high pass filter has been applied in this research. The signal generator technique on EOG is carried out by placing electrodes on three sides of the face, namely forehead (G), left horizontal (H-), right horizontal (H +). The experimental results showed a significant difference between the left and right eye movement amplitude signals. This amplitude is used to classify the movement of the robot wheel towards the left and right. The process of sending robot signals and EOG measuring instruments uses Bluetooth HC-05 serial communication. Based on the research results, it is proven that the robot manages to move left and right according to the eyeball movement.Kemahyanto ExaudiRendyansyah RendyansyahAditya Putra Perdana PrasetyoP3M Politeknik Negeri Banjarmasinarticlebluetoothelektrodaelectrooculographyrobot berodaElectrical engineering. Electronics. Nuclear engineeringTK1-9971Information technologyT58.5-58.64ENIDJurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, Vol 5, Iss 2, Pp 100-109 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	bluetooth elektroda electrooculography robot beroda Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64
spellingShingle	bluetooth elektroda electrooculography robot beroda Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64 Kemahyanto Exaudi Rendyansyah Rendyansyah Aditya Putra Perdana Prasetyo Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)
description	Biomedical technology has now been widely adopted as a means of monitoring the human body in real-time. For example, to detect eye movement. In the medical world, eye movement can be used to determine the type of disease. With the application of human-machine interface (HMI) technology, eyeball movement can be developed in the robotics industry as robot navigation. For example, by moving the eyeball left and right, the robot can interpret the eye signal to move left and right. The interaction between the eyeball movement and the robot is of particular concern in this study. This study aimed to design a measuring instrument for eye movement detection using Electrooculography (EOG) techniques to move a wheeled robot. The EOG measuring instrument consisting of an instrument differential amplifier, a low pass filter, and a high pass filter has been applied in this research. The signal generator technique on EOG is carried out by placing electrodes on three sides of the face, namely forehead (G), left horizontal (H-), right horizontal (H +). The experimental results showed a significant difference between the left and right eye movement amplitude signals. This amplitude is used to classify the movement of the robot wheel towards the left and right. The process of sending robot signals and EOG measuring instruments uses Bluetooth HC-05 serial communication. Based on the research results, it is proven that the robot manages to move left and right according to the eyeball movement.
format	article
author	Kemahyanto Exaudi Rendyansyah Rendyansyah Aditya Putra Perdana Prasetyo
author_facet	Kemahyanto Exaudi Rendyansyah Rendyansyah Aditya Putra Perdana Prasetyo
author_sort	Kemahyanto Exaudi
title	Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)
title_short	Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)
title_full	Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)
title_fullStr	Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)
title_full_unstemmed	Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)
title_sort	kontrol robot menggunakan gerakan mata berbasis sinyal electrooculography (eog)
publisher	P3M Politeknik Negeri Banjarmasin
publishDate	2021
url	https://doaj.org/article/df7d29fd54d94339b76d255f8e690a6f
work_keys_str_mv	AT kemahyantoexaudi kontrolrobotmenggunakangerakanmataberbasissinyalelectrooculographyeog AT rendyansyahrendyansyah kontrolrobotmenggunakangerakanmataberbasissinyalelectrooculographyeog AT adityaputraperdanaprasetyo kontrolrobotmenggunakangerakanmataberbasissinyalelectrooculographyeog
_version_	1718389108561149952

Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)

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