Development of intelligent system for eye-tracking application
This report summarized the whole making process of this project. This project was aspired to provide a feasible solution for physically impaired people to interact with computer sufficiently by performing basic tasks like, control a computer cursor, and browsing a webpage via their eye movemen...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/71668 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-71668 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-716682023-07-07T17:47:47Z Development of intelligent system for eye-tracking application Wu, Chenglong Song Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This report summarized the whole making process of this project. This project was aspired to provide a feasible solution for physically impaired people to interact with computer sufficiently by performing basic tasks like, control a computer cursor, and browsing a webpage via their eye movements. The success of this project will potentially improve the quality of patients’ life. The eye movement tracking system is a program that captures and tracks the human eye motions using a video camera and it would be translated into practical functions like cursor control, web browser interaction. Through experiment and testing, the reliability of the tracking algorithm (CAMShift) will be affected by factors like the position of camera, the lighting of room, and the intensity of LED light that shines on user’s eye. Adjustment has been constantly made to improve reliability of the system. However, there are much more rooms for improvement for this project. Bachelor of Engineering 2017-05-18T07:26:18Z 2017-05-18T07:26:18Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71668 en Nanyang Technological University 45 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Wu, Chenglong Development of intelligent system for eye-tracking application |
description |
This report summarized the whole making process of this project. This project was
aspired to provide a feasible solution for physically impaired people to interact with
computer sufficiently by performing basic tasks like, control a computer cursor, and
browsing a webpage via their eye movements. The success of this project will
potentially improve the quality of patients’ life. The eye movement tracking system is
a program that captures and tracks the human eye motions using a video camera and it
would be translated into practical functions like cursor control, web browser
interaction. Through experiment and testing, the reliability of the tracking algorithm
(CAMShift) will be affected by factors like the position of camera, the lighting of room,
and the intensity of LED light that shines on user’s eye. Adjustment has been
constantly made to improve reliability of the system. However, there are much more
rooms for improvement for this project. |
author2 |
Song Qing |
author_facet |
Song Qing Wu, Chenglong |
format |
Final Year Project |
author |
Wu, Chenglong |
author_sort |
Wu, Chenglong |
title |
Development of intelligent system for eye-tracking application |
title_short |
Development of intelligent system for eye-tracking application |
title_full |
Development of intelligent system for eye-tracking application |
title_fullStr |
Development of intelligent system for eye-tracking application |
title_full_unstemmed |
Development of intelligent system for eye-tracking application |
title_sort |
development of intelligent system for eye-tracking application |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/71668 |
_version_ |
1772825464614682624 |