Eye-tracking controlled mobile wheelchair

• Main Author: Rahbiyah Begum Ali Muddin Khan
• Other Authors: Song Qing
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/77789
• Institution: Nanyang Technological University

This project aims to improve the quality of life of mobility-impaired people by designing and developing an eye-tracking controlled mobile wheelchair. This device enables them to use their eye gaze to control the motorized wheelchair, as a result giving them the freedom to move about freely without any support. The project is classified into two parts: hardware and software. The hardware consists of a headset assembled with a raspberry pi camera towards the eyeball for the real-time video capture and the Peregon EW1200 Wheelchair. The software consists of machine learning and image processing technologies on the real-time camera, to predict the user’s point of gaze.