RT Journal Article
T1 A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute
A1 Imran Saleem, Muhammad
A1 Siddiqui, Atif Ahmed
A1 Noor, Shaheena
A1 Luque-Nieto, Miguel Ángel
K1 Aprendizaje automático (Inteligencia artificial)
AB first_pagesettingsOrder Article ReprintsOpen AccessArticleA Novel Machine Learning Based Two-Way Communication System for Deaf and Muteby Muhammad Imran Saleem 1,2,*ORCID,Atif Siddiqui 3ORCID,Shaheena Noor 4ORCID,Miguel-Angel Luque-Nieto 1,2ORCID andPablo Otero 1,2ORCID1Telecommunications Engineering School, University of Malaga, 29010 Malaga, Spain2Institute of Oceanic Engineering Research, University of Malaga, 29010 Malaga, Spain3Airbus Defence and Space, UK4Department of Computer Engineering, Faculty of Engineering, Sir Syed University of Engineering and Technology, Karachi 75300, Pakistan*Author to whom correspondence should be addressed.Appl. Sci. 2023, 13(1), 453; https://doi.org/10.3390/app13010453Received: 12 November 2022 / Revised: 22 December 2022 / Accepted: 26 December 2022 / Published: 29 December 2022Download Browse Figures Versions NotesAbstractDeaf and mute people are an integral part of society, and it is particularly important to provide them with a platform to be able to communicate without the need for any training or learning. These people rely on sign language, but for effective communication, it is expected that others can understand sign language. Learning sign language is a challenge for those with no impairment. Another challenge is to have a system in which hand gestures of different languages are supported. In this manuscript, a system is presented that provides communication between deaf and mute (DnM) and non-deaf and mute (NDnM). The hand gestures of DnM people are acquired and processed using deep learning, and multiple language support is achieved using supervised machine learning. The NDnM people are provided with an audio interface where the hand gestures are converted into speech and generated through the sound card interface of the computer. Speech from NDnM people is acquired using microphone input and converted into text. The system is easy to use and low cost. (...)
PB IOAP-MDPI
YR 2022
FD 2022-12-29
LK https://hdl.handle.net/10630/25972
UL https://hdl.handle.net/10630/25972
LA eng
NO Saleem MI, Siddiqui A, Noor S, Luque-Nieto M-A, Otero P. A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute. Applied Sciences. 2023; 13(1):453. https://doi.org/10.3390/app13010453
NO This research has been partially funded by Universidad de Málaga, Málaga, Spain.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026