dc.contributor.author |
Muthugala, Nisal Manjitha |
|
dc.date.accessioned |
2021-07-17T15:48:55Z |
|
dc.date.available |
2021-07-17T15:48:55Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Muthugala, Nisal Manjitha M R (2020) Sign Language Converter - Converting sign Language to Texts In Real Time, BEng. Dissertation Informatics Institute of Technology |
en_US |
dc.identifier.other |
2016126 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/590 |
|
dc.description.abstract |
Sign Language Conversion is a widely discussed topic in the software development industry in past years. This can be used to improve the communication between the deaf people and normal people who did not know Sign Language. Due to the lack of knowledge on Sign Language, there is a considerable communication gap between these people. That leads to the social isolation of deaf people. This can affect more if the deaf person is a kid. Even the young people with hearing disabilities facing issues when it comes to applying a job and working on the job. When its compared to the job market available for normal people, the job market is low for the people with hearing disabilities So, the solution is to minimize the communication gap is, creating a software to convert sign language to texts and display it to the other person. This software is creating by using Image Processing and Natural Language Processing. First the sign language gesture captures and identify by processing it. Then it used to create sentence using NLP and display it to the user in Graphical User Interface. |
en_US |
dc.subject |
Natural language processing |
en_US |
dc.subject |
Image Processing |
en_US |
dc.subject |
Sign Language |
en_US |
dc.subject |
Graphical User Interface |
en_US |
dc.title |
Sign Language Converter - Converting sign Language to Texts In Real Time |
en_US |
dc.type |
Thesis |
en_US |