International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 36 |
Year of Publication: 2022 |
Authors: Pushpakumara N.P.S.S., Nayanasara M.G.G.S., Jayasekara L.H.M., Ayodhya Shansala P.G., Jagath Wickramarathne, Wishalya Tissera |
10.5120/ijca2022922453 |
Pushpakumara N.P.S.S., Nayanasara M.G.G.S., Jayasekara L.H.M., Ayodhya Shansala P.G., Jagath Wickramarathne, Wishalya Tissera . Asphone – The Sign Language Interpreter Module. International Journal of Computer Applications. 184, 36 ( Nov 2022), 12-15. DOI=10.5120/ijca2022922453
According to a survey conducted by the World Federation of the Deaf, the number of deaf-mute people in the world is constantly increasing, and there are currently 72 million deaf-mute people worldwide [4]. 63% of them have become impaired by birth itself whereas the rest have been impaired due to accidents. The primary mode of communication for these deaf-mute individuals is sign language which is accepted and used universally but communication between a typical person and this deaf-mute someone with a disability can be very challenging since the average person cannot comprehend the hand movements of a disabled person, and deaf-mute individuals frequently have hearing difficulties. This study focuses primarily on a real-time sign language interpretation technology that can be utilized to sustain effective communication between deaf-mute and hearing individuals. It includes a wearable glove and a "Portable Display Unit" (PDU). On the display of the PDU, the sign gestures done with the glove will appear as a readable plain text message. In addition, the "Asphone - Sign Language Interpret Module" which is another part of the system is capable of translating human voice messages into sign language. These translated sign language messages are also displayed on the screen of the PDU. Using this technique, deaf-mutes can communicate effectively with everyone they encounter in their daily lives. With the completion of this project, the world will be able to bridge the communication gap between deaf-mute and hearing individuals.