Eye Tracking ,Control Gestures, Raspberry Pi, Image Processing.

Authors

  • Arulmozhi. K  UG Scholar, Dhanalakshmi College of Engineering, Tamilnadu, India
  • Dharshini. K  UG Scholar, Dhanalakshmi College of Engineering, Tamilnadu, India
  • Kaviyasree. P  UG Scholar, Dhanalakshmi College of Engineering, Tamilnadu, India
  • Seetha. J  Assistant Professor, Dhanalakshmi College of Engineering, Tamilnadu, India

DOI:

https://doi.org//10.32628/IJSRST196255

Keywords:

Eye Tracking ,Control Gestures, Raspberry Pi, Image Processing.

Abstract

Smart eye tracking system is designed for controlling any devices which has digital screen, with the eye ball movements and gestures without the help of required hardware. This paper proposes the design and implementation of cursor control system based on the movement of the eye ball. Then the movement of the eye ball is tracked and the cursor movement is regulated accordingly and gestures like blinking enables enter and blinking twice enables right click and left click. These gestures and tracking system enables the users to use the entire device. The image processing module consists of webcam and python customized image processing, the eye movement image is captured and transmitted to Raspberry pi 3 model B version 2 microcontroller for processing with open CV to derive the coordinate of eyeball. The coordinate of eyeball is utilized for cursor control on the Raspberry pi screen to control the system.

References

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Published

2019-04-30

Issue

Section

Research Articles

How to Cite

[1]
Arulmozhi. K, Dharshini. K, Kaviyasree. P, Seetha. J, " Eye Tracking ,Control Gestures, Raspberry Pi, Image Processing., International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 6, Issue 2, pp.311-319, March-April-2019. Available at doi : https://doi.org/10.32628/IJSRST196255