Sign language detection and conversion to readable Bengali words using BdSL
This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2023.
| Κύριοι συγγραφείς: | , , , |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Thesis |
| Γλώσσα: | English |
| Έκδοση: |
Brac University
2024
|
| Θέματα: | |
| Διαθέσιμο Online: | http://hdl.handle.net/10361/23574 |
| id |
10361-23574 |
|---|---|
| record_format |
dspace |
| spelling |
10361-235742024-06-25T21:01:49Z Sign language detection and conversion to readable Bengali words using BdSL Dhrubo, Tahsinul Haque Mahmood, ASM Tareq Tabassum, Noshin Khan, Riead Hasan Hossain, Muhammad Iqbal Department of Computer Science and Engineering, Brac University Deaf people Camera vision Real-time communication Sign language Mediapipe Natural language processing (Computer science). This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2023. Cataloged from the PDF version of the thesis. Includes bibliographical references (pages 32-33). In this era of modernization, technology is used to improve the outcome in every aspect of our lives. At the beginning of development, scientists made tools and pieces of stuff in order to enhance the speed of communication. The purpose of our research is to use modern technology to upgrade the lifestyle of human beings with the people who are struggling with obstacles. The machine interpretation of sign language has been conceivable yet in a restricted design, starting around 1977. At the point when an examination project effectively paired English letters from a console to ASL manual set letters which were reenacted on a mechanical hand. These innovations make an interpretation of sign language into a communicative language to communicate via gestures. The point of what is being looked for is now coming up. It’s already started to develop tools in order to make the communication procedure easier for people who can communicate with others through sign language. The objective of our endeavor is to provide a means of communication that facilitates interaction between those who possess normal hearing abilities and those who are deaf. The proposed system aims to identify indicators of deafness in individuals and use natural language processing (NLP) techniques to turn these indicators into a language that is readily understood, hence facilitating seamless communication between individuals with and without hearing impairments. The BDSL was used to enrich the dataset. In the event that an individual desires to use the model for a different language, it becomes required to make an update of the dataset. Our motto is - “Communications for everyone”. Tahsinul Haque Dhrubo ASM Tareq Mahmood Noshin Tabassum Riead Hasan Khan B.Sc in Computer Science 2024-06-25T06:13:09Z 2024-06-25T06:13:09Z 2023 2023-09 Thesis ID 22341077 ID 20101073 ID 20101347 ID 20101004 http://hdl.handle.net/10361/23574 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. 33 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Deaf people Camera vision Real-time communication Sign language Mediapipe Natural language processing (Computer science). |
| spellingShingle |
Deaf people Camera vision Real-time communication Sign language Mediapipe Natural language processing (Computer science). Dhrubo, Tahsinul Haque Mahmood, ASM Tareq Tabassum, Noshin Khan, Riead Hasan Sign language detection and conversion to readable Bengali words using BdSL |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2023. |
| author2 |
Hossain, Muhammad Iqbal |
| author_facet |
Hossain, Muhammad Iqbal Dhrubo, Tahsinul Haque Mahmood, ASM Tareq Tabassum, Noshin Khan, Riead Hasan |
| format |
Thesis |
| author |
Dhrubo, Tahsinul Haque Mahmood, ASM Tareq Tabassum, Noshin Khan, Riead Hasan |
| author_sort |
Dhrubo, Tahsinul Haque |
| title |
Sign language detection and conversion to readable Bengali words using BdSL |
| title_short |
Sign language detection and conversion to readable Bengali words using BdSL |
| title_full |
Sign language detection and conversion to readable Bengali words using BdSL |
| title_fullStr |
Sign language detection and conversion to readable Bengali words using BdSL |
| title_full_unstemmed |
Sign language detection and conversion to readable Bengali words using BdSL |
| title_sort |
sign language detection and conversion to readable bengali words using bdsl |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/23574 |
| work_keys_str_mv |
AT dhrubotahsinulhaque signlanguagedetectionandconversiontoreadablebengaliwordsusingbdsl AT mahmoodasmtareq signlanguagedetectionandconversiontoreadablebengaliwordsusingbdsl AT tabassumnoshin signlanguagedetectionandconversiontoreadablebengaliwordsusingbdsl AT khanrieadhasan signlanguagedetectionandconversiontoreadablebengaliwordsusingbdsl |
| _version_ |
1814307675814494208 |