Eye Monitored Wheel Chair Control for People Suffering from Quadriplegia

Authors

  • Rasal Nilam Balasaheb  Department of E&TC, Parikrama College of Engineering, Kashti, Ahmednagar, Maharashtra, India
  • Ithape Reshma Mansing  Department of E&TC, Parikrama College of Engineering, Kashti, Ahmednagar, Maharashtra, India
  • Karale Gitanjali Nitin  Department of E&TC, Parikrama College of Engineering, Kashti, Ahmednagar, Maharashtra, India
  • Prof. S. B. Puri  Assistant Professor Department of E&TC, Parikrama College of Engineering, Kashti, Ahmednagar, Maharashtra, India
  • Prof. Divekr S. N.  HOD Department of E&TC, Parikrama College of Engineering, Kashti, Ahmednagar, Maharashtra, India

Keywords:

Flex Sensor, Arduino Uno, Voice Module.

Abstract

The Eye Directive wheelchair is a mobility-aided device for persons with moderate/severe physical disabilities or chronic disease such as Quadriplegia. In this model, we use the optical-type eye tracking system to control powered wheel chair. User’s eye movements are translated to screen position using the optical type eye tracking system, without any direct contact. When user looks at appropriate angle, then computer input system will send command to the software based on the angle of rotation of pupil i.e., when user moves his eye balls left (move left), right (move right), straight (move forward) in all other cases wheel chair will stop. Similarly, by blinking or simply closing his eyes and user can stop the wheelchair.

References

  1. https://scholar.google.com/scholar?as_q=Towards+a+Brain-Activated+and+Eye
  2. https://ieeexplore.ieee.org/xpl/conhome/7829191/proceeding
  3. https://github.com/AugustoEst/gazetrack
  4. https://learnopencv.com/wpcontent/uploads/2018/11/OpenCV-RaspberryPi.jpg
  5. https://www.semanticscholar.org/paper/EYEMOTION-TRACKING-FOR-WHEELCHAIRCONTROL-GajwaniChbria/24184da83b209b03e644cae2338dae20ef0be62f#citing-papers
  6. https://www.erpublication.org/published_paper/IJETR041367.pdf
  7. https://www.ijert.org/research/advance-eye-controlled-wheelchair-for-disabled-person-IJERTCONV5IS01181.pdf

Downloads

Published

2020-06-30

Issue

Section

Research Articles

How to Cite

[1]
Rasal Nilam Balasaheb, Ithape Reshma Mansing, Karale Gitanjali Nitin, Prof. S. B. Puri, Prof. Divekr S. N. "Eye Monitored Wheel Chair Control for People Suffering from Quadriplegia" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 3, pp.478-482, May-June-2020.