Robust Sign Language Interpreter for Deaf Persons
Miaad Ahmed Hussein, Sundus Khaleel Ebraheem · 2022
The present study focuses on a category of people who suffer from disorders of hearing and/or speaking and communicating orally with others, they are deaf and usually have difficulties in learning how to write and read text. That is why sign language has emerged as an effective alternative to expressing their thoughts, and that most people (who hear) do not know sign language, in this research, the development of an application design on a mobile phone that works without the use of the internet, to translate the Iraqi sign language through the development of the system to include copying text messages and converting them into sign language. Also, in the event that the word does not exist in the database, a note will be displayed to the recipient explaining that the apparent translation is an alphabetic translation and not a real translation, as well as adding a photo capture icon to take a picture for any text to be translated. As a result of applying the system to a number of volunteers, according to a questionnaire that was conducted for them, the system was 100 % efficient and accurate. It was programmed in Java under the Android environment, and the application interfaces were designed using the Extensible Markup Language (XML) Then it was implemented and tested under the environment of the Android operating system version (9.0). The Blender program was used to design images that represent words, letters and sign language numbers.