dc.contributor.advisor | Uddin, Jia | |
dc.contributor.author | Islam, Md. Rayhan Al | |
dc.contributor.author | Rahman, Maliha | |
dc.contributor.author | Rezyuan, Md. | |
dc.date.accessioned | 2019-07-14T04:30:17Z | |
dc.date.available | 2019-07-14T04:30:17Z | |
dc.date.copyright | 2019 | |
dc.date.issued | 2019-04 | |
dc.identifier.other | ID 15101063 | |
dc.identifier.other | ID 15101105 | |
dc.identifier.other | ID 15101114 | |
dc.identifier.uri | http://hdl.handle.net/10361/12351 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 36-38). | |
dc.description.abstract | Using computers for people with very limited or no arm movements is a very tough
task and most of the time impossible. In this paper, we are proposing an iris based
cursor control system developed speci cally for physically challenged people. Eye
gaze localization has been a very popular research eld for several years. Tobi Eyes,
Gaze Pointer Face Detection with viola-jones are the advanced works in this eld but
both have certain limitations such as the infrared ray issues and accuracy deviation
because of unstable frames. In our work, we have developed a model to overcome
these barriers of the state of the art systems. Along with the software model we
are also proposing a hardware model in order to improve the accuracy of previously
mentioned di culties. In our system, we used Hough circle transform for localizing
the eye gaze. The developed system is tested by multiple users and we achieved
around 89.8% accuracy. This model will help the disabled peoples to get themselves
out from their limited world. Furthermore, the functionality of using the on-screen
keyboard will help them to interact very easily. This system will ensure maximum
user comfort with minimum setup requirements. | en_US |
dc.description.statementofresponsibility | Md. Rayhan Al Islam | |
dc.description.statementofresponsibility | Maliha Rahman | |
dc.description.statementofresponsibility | Md. Rezyuan | |
dc.format.extent | 38 pages | |
dc.language.iso | en | en_US |
dc.publisher | Brac University | en_US |
dc.rights | Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | Cursor control | en_US |
dc.subject | Blink detection | en_US |
dc.subject | Iris gesture | en_US |
dc.subject | Hough circle transform | en_US |
dc.subject | Window to view port transformation | en_US |
dc.subject | Haarcascade eye trees | en_US |
dc.subject.lcsh | Image processing | |
dc.title | A robust cursor activity control with Iris gesture and blink detection technique | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, Brac University | |
dc.description.degree | B. Computer Science and Engineering | |