Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/77789
Title: Eye-tracking controlled mobile wheelchair
Authors: Rahbiyah Begum Ali Muddin Khan
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2019
Abstract: 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.
URI: http://hdl.handle.net/10356/77789
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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