Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)

Authors

  • Kemahyanto Exaudi Universitas Sriwijaya, Palembang, Indonesia
  • Rendyansyah Rendyansyah Universitas Sriwijaya, Palembang, Indonesia
  • Aditya Putra Perdana Prasetyo Universitas Sriwijaya, Palembang, Indonesia

DOI:

https://doi.org/10.31961/eltikom.v5i2.464

Keywords:

bluetooth, electrode, electrooculography, robot

Abstract

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.

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References

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Published

15-05-2022

How to Cite

[1]
Exaudi, K. et al. 2022. Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG). Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer. 5, 2 (May 2022), 100–109. DOI:https://doi.org/10.31961/eltikom.v5i2.464.

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