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Robot Control using Electro-Oculography


Aadarsh Kr. Sharma , Atharva College of Engineering, Mumbai, India; Anshuman Singh, Atharva College of Engineering, Mumbai, India; Prashant Chaubey, Atharva College of Engineering, Mumbai, India; Vijay Baranwal, Atharva College of Engineering, Mumbai, India; Niyati Sohni, Atharva College of Engineering, Mumbai, India


Electro-Oculography, Microcontroller, RF Module


Electrooculography (EOG) [2] signal is a widely and successfully used to detect activities of human eye. Using the EOG signals as a controlling signal for human-computer interface (HCI) plays a central role in the understanding. This prototype for controlling robot using our eyeballs is based on EOG signal and designed to help the paralyzed persons, generally the handicaps move the wheel chair by using hand, but here, and the chair will automatically move to a particular direction as the person moves his eyes towards a direction. This prototype will also sense the obstacles in front of it and gives a beep sound. The aim of our project is to develop a new method that allows the user to look around freely while the base (on which the prototype has been setup) navigates automatically to the desired goal point. An Eyeball Movement Sensor will be used to sense the movement of the eyeball and converts the obtained analog signal into digital data and transfers it to the Master controller.

Other Details

Paper ID: NCTAAP105
Published in: Conference 4 : NCTAA 2016
Publication Date: 29/01/2016
Page(s): 447-449

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