An Experimental Study on Blinking and Eye Movement Detection via EEG Signals for Human-Robot Interaction Purposes Based on a Spherical 2-DOF Parallel Robot

Arian, Alaleh; Kalhor, Ahmad; Tale Masouleh, Mehdi

doi:10.22060/miscj.2016.638

An Experimental Study on Blinking and Eye Movement Detection via EEG Signals for Human-Robot Interaction Purposes Based on a Spherical 2-DOF Parallel Robot

Document Type : Research Article

Authors

Alaleh Arian ¹

Ahmad Kalhor ¹

Mehdi Tale Masouleh ²

¹ Human and Robot Interaction Laboratory, Faculty of new sciences and Technologies, University of Tehran

² Human and Robot Interaction Laboratory, Faculty of New Sciences and Technologies, University of Tehran

10.22060/miscj.2016.638

Abstract

Blinking and eye movement are one of the most important abilities that most people have, even people with spinal cord problem. By using this ability these people could handle some of their activities such as moving their wheelchair without the help of others. One of the most important fields in Human-Robot Interaction is the development of artificial limbs working with brain signals. The purpose of this project consists in detecting blinking and left and right eye movements via electroencephalogram signals which is also useful in determining sleepiness. Moving Window, Fast Fourier Transform and Wavelet Transform are the methods which are used in this project. Obtained results reveals that the most reliable method to recognize blinking and eye movements is Fast Fourier Transform since it is almost insensitive and invariant to the defined variables. After recognition of blinking and eye movement, these actions are transferred to a robot which is called the spherical 2-DOF parallel robot, first built at Laval University.
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Keywords

Human-Robot Interaction

Electroencephalogram

Moving Window

Fast Fourier Transform

Wavelet transform