Autonomous wheelchair (mobile robot) via EOG signal recognition

Wong , Chui Yee (2014) Autonomous wheelchair (mobile robot) via EOG signal recognition. Project Report. UTeM. (Submitted)

Text AUTONOMOUS WHEELCHAIR (MOBILE ROBOT) VIA EOG SIGNAL RECOGNITION 24pages.pdf Download (529kB)

Abstract

The purpose of this study is to use electrooculography (EOG) signal as an alternative controlled technique for wheelchair direction control. The main result for this project is the corneal-retinal potential obtained from the electrodes. Corneal-retinal potential (CRP) is the result of hyperpolarization and depolarization existing between retina and cornea. The amplitude of CRP for this project was collected from 5 volunteers. The CRP was obtained from the electrodes and the signal was then transferred to the Matlab. Three electrodes were attached on skin near eyes region to obtain EOG signal. In Matlab, signal analysis was carried out to attain some information about the signals such as maximum and minimum value of the amplitude of the corneal-retinal potential (CRP). Threshold level is determined based on the features of the signal. Threshold level is used to determine the direction of the wheelchair prototype. The overall of this study is to implement the threshold level set using the CRP collected onto the wheelchair prototype. At the end of this project, a comprehensive report about analysis and discussion made based on the results obtained from experiment is produced

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