Iris communicator
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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| Idioma: | English |
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BRAC University
2019
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| Acesso em linha: | http://hdl.handle.net/10361/11430 |
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10361-114302022-01-26T10:10:29Z Iris communicator Ali, Shahriar Arnob, Nafis Hasrat Alam, Md. Ashraful Department of Computer Science and Engineering, BRAC University GUI Augmented reality Pyttsx Electro-oculogram This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Includes bibliographical references (pages 26-28). Cataloged from PDF version of thesis. This research purposes an eye pupil tracking experimental software to enable communication abilities for individuals with severe motor impairment. Since the ability of moving eye pupil is often preserved, even in severe conditions such as locked-in syndrome, Iris Communicator allows text entry with eye movement as the only input modality. To begin with, a camera was used to get video input from where we got BGR (Blue-Green-Red) images. Afterwards, we converted those BGR images into grayscale images. Then, we used Adaptive Threshold method for smoothing the images. The images were finally ready for eye pupil detection. Here, we used Hough Circle Transform method for detecting eye pupil as a circular object. Then, we programmed an algorithm to plot and keep track of the eye pupil movement and we designed a new keyboard layout to synchronize. In addition, we programmed a calibration method to extend the gaze area of eye pupil. Finally, we included text to speech feature by using pyTTSx3 and created a combination chart for each English letter. In future, we will be working on creating a user interface using Tkinter. Also, we will add more features like taking blink input and adding a cursor mode. Shahriar Ali Nafis Hasrat Arnob B. Computer Science and Engineering 2019-02-18T05:16:45Z 2019-02-18T05:16:45Z 2018-12 Thesis ID 14101242 ID 14101202 http://hdl.handle.net/10361/11430 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. 28 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
GUI Augmented reality Pyttsx Electro-oculogram |
| spellingShingle |
GUI Augmented reality Pyttsx Electro-oculogram Ali, Shahriar Arnob, Nafis Hasrat Iris communicator |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Alam, Md. Ashraful |
| author_facet |
Alam, Md. Ashraful Ali, Shahriar Arnob, Nafis Hasrat |
| format |
Thesis |
| author |
Ali, Shahriar Arnob, Nafis Hasrat |
| author_sort |
Ali, Shahriar |
| title |
Iris communicator |
| title_short |
Iris communicator |
| title_full |
Iris communicator |
| title_fullStr |
Iris communicator |
| title_full_unstemmed |
Iris communicator |
| title_sort |
iris communicator |
| publisher |
BRAC University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/11430 |
| work_keys_str_mv |
AT alishahriar iriscommunicator AT arnobnafishasrat iriscommunicator |
| _version_ |
1814307714256338944 |