A robust cursor activity control with Iris gesture and blink detection technique
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
| Główni autorzy: | , , |
|---|---|
| Kolejni autorzy: | |
| Format: | Praca dyplomowa |
| Język: | English |
| Wydane: |
Brac University
2019
|
| Hasła przedmiotowe: | |
| Dostęp online: | http://hdl.handle.net/10361/12351 |
| id |
10361-12351 |
|---|---|
| record_format |
dspace |
| spelling |
10361-123512022-01-26T10:21:50Z A robust cursor activity control with Iris gesture and blink detection technique Islam, Md. Rayhan Al Rahman, Maliha Rezyuan, Md. Uddin, Jia Department of Computer Science and Engineering, Brac University Cursor control Blink detection Iris gesture Hough circle transform Window to view port transformation Haarcascade eye trees Image processing This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 36-38). 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. Md. Rayhan Al Islam Maliha Rahman Md. Rezyuan B. Computer Science and Engineering 2019-07-14T04:30:17Z 2019-07-14T04:30:17Z 2019 2019-04 Thesis ID 15101063 ID 15101105 ID 15101114 http://hdl.handle.net/10361/12351 en 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. 38 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Cursor control Blink detection Iris gesture Hough circle transform Window to view port transformation Haarcascade eye trees Image processing |
| spellingShingle |
Cursor control Blink detection Iris gesture Hough circle transform Window to view port transformation Haarcascade eye trees Image processing Islam, Md. Rayhan Al Rahman, Maliha Rezyuan, Md. A robust cursor activity control with Iris gesture and blink detection technique |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. |
| author2 |
Uddin, Jia |
| author_facet |
Uddin, Jia Islam, Md. Rayhan Al Rahman, Maliha Rezyuan, Md. |
| format |
Thesis |
| author |
Islam, Md. Rayhan Al Rahman, Maliha Rezyuan, Md. |
| author_sort |
Islam, Md. Rayhan Al |
| title |
A robust cursor activity control with Iris gesture and blink detection technique |
| title_short |
A robust cursor activity control with Iris gesture and blink detection technique |
| title_full |
A robust cursor activity control with Iris gesture and blink detection technique |
| title_fullStr |
A robust cursor activity control with Iris gesture and blink detection technique |
| title_full_unstemmed |
A robust cursor activity control with Iris gesture and blink detection technique |
| title_sort |
robust cursor activity control with iris gesture and blink detection technique |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12351 |
| work_keys_str_mv |
AT islammdrayhanal arobustcursoractivitycontrolwithirisgestureandblinkdetectiontechnique AT rahmanmaliha arobustcursoractivitycontrolwithirisgestureandblinkdetectiontechnique AT rezyuanmd arobustcursoractivitycontrolwithirisgestureandblinkdetectiontechnique AT islammdrayhanal robustcursoractivitycontrolwithirisgestureandblinkdetectiontechnique AT rahmanmaliha robustcursoractivitycontrolwithirisgestureandblinkdetectiontechnique AT rezyuanmd robustcursoractivitycontrolwithirisgestureandblinkdetectiontechnique |
| _version_ |
1814309559551918080 |