A smart avatar tutor for mimicking characters of Bangla sign language
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
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Brac University
2024
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Առցանց հասանելիություն: | http://hdl.handle.net/10361/22866 |
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10361-228662024-05-19T21:01:28Z A smart avatar tutor for mimicking characters of Bangla sign language Islam, Apu Rahman, Somaya Al Sadia Bhowmick, Pratick Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University Sign language Bangla language Image processing Cosine similarity YOLOv8 Image processing--Digital techniques Sign language This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 43-44). This paper presents an efficient novel approach to developing a smart avatar tutor for teaching Bangla Sign Language (BSL). The avatar is designed to mimic the numbers and alphabets used in BSL, providing an interactive and engaging tool for learners. The system employs image processing and machine learning techniques to identify and analyze hand gestures and signs in a dataset, generating corresponding animated sequences that the avatar can use to replicate them. Following preliminary pre-processing of the dataset, we collected hand gestures and signs to train the system. The avatar’s user interface (UI) is designed to be intuitive and user-friendly, allowing learners to practice physically to engage their sensorimotor skills, making the learning more efficient, and receiving instant feedback on their performance using cosine similarity. The results of a user study, conducted with 10 participants from the National Federation of the Deaf, showed that the avatar was effective in improving learners’ BSL skills and was perceived positively in terms of usability and engagement. Though there is a little research on American Sign Language avatar tutors or a learning system for American Sign Language, there isn’t any research conducted on a smart avatar tutor for teaching Bangla Sign Language (BSL). The proposed system has the potential to make BSL learning more accessible and enjoyable for a wider audience. Apu Islam Somaya Al Sadia Rahman Pratick Bhowmick B.Sc in Computer Science 2024-05-19T06:36:02Z 2024-05-19T06:36:02Z ©2024 2024-01 Thesis ID: 23241069 ID: 20101560 ID: 20101262 http://hdl.handle.net/10361/22866 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. 51 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Sign language Bangla language Image processing Cosine similarity YOLOv8 Image processing--Digital techniques Sign language |
spellingShingle |
Sign language Bangla language Image processing Cosine similarity YOLOv8 Image processing--Digital techniques Sign language Islam, Apu Rahman, Somaya Al Sadia Bhowmick, Pratick A smart avatar tutor for mimicking characters of Bangla sign language |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. |
author2 |
Alam, Md. Golam Rabiul |
author_facet |
Alam, Md. Golam Rabiul Islam, Apu Rahman, Somaya Al Sadia Bhowmick, Pratick |
format |
Thesis |
author |
Islam, Apu Rahman, Somaya Al Sadia Bhowmick, Pratick |
author_sort |
Islam, Apu |
title |
A smart avatar tutor for mimicking characters of Bangla sign language |
title_short |
A smart avatar tutor for mimicking characters of Bangla sign language |
title_full |
A smart avatar tutor for mimicking characters of Bangla sign language |
title_fullStr |
A smart avatar tutor for mimicking characters of Bangla sign language |
title_full_unstemmed |
A smart avatar tutor for mimicking characters of Bangla sign language |
title_sort |
smart avatar tutor for mimicking characters of bangla sign language |
publisher |
Brac University |
publishDate |
2024 |
url |
http://hdl.handle.net/10361/22866 |
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