International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 158 - Number 8 |
Year of Publication: 2017 |
Authors: Jayanth Thota, Priyanka Vangali, Xiaokun Yang |
10.5120/ijca2017912853 |
Jayanth Thota, Priyanka Vangali, Xiaokun Yang . Prototyping An Autonomous Eye-Controlled System (AECS) using Raspberry-Pi on Wheelchairs. International Journal of Computer Applications. 158, 8 ( Jan 2017), 1-7. DOI=10.5120/ijca2017912853
In order to help physically disabled persons to make their life independent, this paper proposes an autonomous eye controlled system (AECS) on wheelchairs. In this work, several OpenCV image processing algorithms are employed to track the eye motion to coordinate the wheelchair moving left, right, and straight forward. We use the Raspberry-Pi B+ board as the system center to process the images and control the motors via GPIO. Experimental results show that the ACES system can be effectively used in the prototype, and outperforms the hand gesture controlled system by 25% processing latency reduction.