Sign2Sign: developing an accessible learning application for sign language (A)
The number of Deaf and hard-of-hearing people ranging from new-born to elderly is increasing every day. Without being able to converse in sign language, many people including family and friends of a deaf person, might be having a communication gap with the deaf person. This project aims to d...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/157843 |
| _version_ | 1811681806481620992 |
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| author | Richardson |
| author2 | Wesley Tan Chee Wah |
| author_facet | Wesley Tan Chee Wah Richardson |
| author_sort | Richardson |
| collection | NTU |
| description | The number of Deaf and hard-of-hearing people ranging from new-born to elderly is
increasing every day. Without being able to converse in sign language, many people
including family and friends of a deaf person, might be having a communication gap
with the deaf person.
This project aims to develop an accessible and effective sign language learning
platform to help families and friends of a Deaf person to close the communication
gap by learning sign language. The platform has a complete learning cycle for users
to learn words, how to use them in sentences, and use these sentences to create
conversations. The platform also involves the use of interactive 3D avatar to
demonstrate the sign language and Sign Recognition AI to give users signing
feedback in real-time.
This three-student’s team project was shortlisted as one of the World Finalist in the
Microsoft Imagine Cup 2022 Competition and won as the 1st Winner for Asia-Pacific
region in Lifestyle Category. |
| first_indexed | 2024-10-01T03:46:48Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/157843 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:46:48Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1578432023-07-07T19:01:59Z Sign2Sign: developing an accessible learning application for sign language (A) Richardson Wesley Tan Chee Wah School of Electrical and Electronic Engineering wesleytan@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Computer science and engineering::Software::Software engineering The number of Deaf and hard-of-hearing people ranging from new-born to elderly is increasing every day. Without being able to converse in sign language, many people including family and friends of a deaf person, might be having a communication gap with the deaf person. This project aims to develop an accessible and effective sign language learning platform to help families and friends of a Deaf person to close the communication gap by learning sign language. The platform has a complete learning cycle for users to learn words, how to use them in sentences, and use these sentences to create conversations. The platform also involves the use of interactive 3D avatar to demonstrate the sign language and Sign Recognition AI to give users signing feedback in real-time. This three-student’s team project was shortlisted as one of the World Finalist in the Microsoft Imagine Cup 2022 Competition and won as the 1st Winner for Asia-Pacific region in Lifestyle Category. Bachelor of Engineering (Information Engineering and Media) 2022-05-24T03:57:52Z 2022-05-24T03:57:52Z 2022 Final Year Project (FYP) Richardson (2022). Sign2Sign: developing an accessible learning application for sign language (A). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157843 https://hdl.handle.net/10356/157843 en A3224-211 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Computer science and engineering::Software::Software engineering Richardson Sign2Sign: developing an accessible learning application for sign language (A) |
| title | Sign2Sign: developing an accessible learning application for sign language (A) |
| title_full | Sign2Sign: developing an accessible learning application for sign language (A) |
| title_fullStr | Sign2Sign: developing an accessible learning application for sign language (A) |
| title_full_unstemmed | Sign2Sign: developing an accessible learning application for sign language (A) |
| title_short | Sign2Sign: developing an accessible learning application for sign language (A) |
| title_sort | sign2sign developing an accessible learning application for sign language a |
| topic | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Computer science and engineering::Software::Software engineering |
| url | https://hdl.handle.net/10356/157843 |
| work_keys_str_mv | AT richardson sign2signdevelopinganaccessiblelearningapplicationforsignlanguagea |