Bangla sign language recognition and sentence building using deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
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Brac University
2021
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10361-144552022-01-26T10:18:21Z Bangla sign language recognition and sentence building using deep learning Shurid, Safayet Anowar Amin, Khandaker Habibul Mirbahar, Md. Shahnawaz Karmaker, Dolan Alam, Md. Ashraful Department of Computer Science and Engineering, Brac University Communication Sign Language Bangla Sign Language Deaf and mute Convolutional Neural Network This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 44-45). Modern age being the era of Information technology, it would not have come this far without the piled up data or information. Whereas communication is the basis of collecting or gathering data or information, almost 5% of the world’s population is not blessed with the ability of verbal communication [1]. For deaf and dumb people lacking the ability of verbal communication, sign language is the solution. Sign language varies from the verbal language in every form and rule. This creates a gap between people conversing in verbal language and those communicating in sign language. Verbal languages are easy to interpret for having a common rule-following but sign language differs from region to region. This hampers the communication between normal people and those interacting in sign languages. Human to human interpretation is tough because of the enriched word wise signs and vocabs. To eradicate this issue, we are proposing a machine-based approach for training and detecting the Bangla Sign Language. Our aim is to train the system with enough samples containing different signs used in Bangla Sign Language. In this research, we are using the Convolutional Neural Network (CNN) for training each individual sign. In addition to working as a medium of communication between the deaf and mute with the remaining society, this approach would also serve as a tool for the hearing deprived to learn and use the sign language properly. Moreover, this would also come to assistance for anyone willing to learn or develop sign language or wishes to work with those with special needs of using sign language. Safayet Anowar Shurid Khandaker Habibul Amin Md. Shahnawaz Mirbahar Dolan Karmaker B. Computer Science 2021-05-30T06:21:24Z 2021-05-30T06:21:24Z 2020 2020-04 Thesis ID: 16101030 ID: 16101093 ID: 16101025 ID: 16101058 http://dspace.bracu.ac.bd/xmlui/handle/10361/14455 en_US 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. 45 pages application/pdf Brac University |
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Brac University |
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Institutional Repository |
| language |
en_US |
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Communication Sign Language Bangla Sign Language Deaf and mute Convolutional Neural Network |
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Communication Sign Language Bangla Sign Language Deaf and mute Convolutional Neural Network Shurid, Safayet Anowar Amin, Khandaker Habibul Mirbahar, Md. Shahnawaz Karmaker, Dolan Bangla sign language recognition and sentence building using deep learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. |
| author2 |
Alam, Md. Ashraful |
| author_facet |
Alam, Md. Ashraful Shurid, Safayet Anowar Amin, Khandaker Habibul Mirbahar, Md. Shahnawaz Karmaker, Dolan |
| format |
Thesis |
| author |
Shurid, Safayet Anowar Amin, Khandaker Habibul Mirbahar, Md. Shahnawaz Karmaker, Dolan |
| author_sort |
Shurid, Safayet Anowar |
| title |
Bangla sign language recognition and sentence building using deep learning |
| title_short |
Bangla sign language recognition and sentence building using deep learning |
| title_full |
Bangla sign language recognition and sentence building using deep learning |
| title_fullStr |
Bangla sign language recognition and sentence building using deep learning |
| title_full_unstemmed |
Bangla sign language recognition and sentence building using deep learning |
| title_sort |
bangla sign language recognition and sentence building using deep learning |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://dspace.bracu.ac.bd/xmlui/handle/10361/14455 |
| work_keys_str_mv |
AT shuridsafayetanowar banglasignlanguagerecognitionandsentencebuildingusingdeeplearning AT aminkhandakerhabibul banglasignlanguagerecognitionandsentencebuildingusingdeeplearning AT mirbaharmdshahnawaz banglasignlanguagerecognitionandsentencebuildingusingdeeplearning AT karmakerdolan banglasignlanguagerecognitionandsentencebuildingusingdeeplearning |
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1814308813807812608 |