Mostrar el registro sencillo del ítem

dc.contributor.authorImran Saleem, Muhammad
dc.contributor.authorSiddiqui, Atif Ahmed
dc.contributor.authorNoor, Shaheena
dc.contributor.authorLuque-Nieto, Miguel Ángel 
dc.date.accessioned2023-02-16T11:10:53Z
dc.date.available2023-02-16T11:10:53Z
dc.date.issued2022-12-29
dc.identifier.citationSaleem 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/app13010453es_ES
dc.identifier.urihttps://hdl.handle.net/10630/25972
dc.description.abstractfirst_pagesettingsOrder Article Reprints Open AccessArticle A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute by Muhammad Imran Saleem 1,2,*ORCID,Atif Siddiqui 3ORCID,Shaheena Noor 4ORCID,Miguel-Angel Luque-Nieto 1,2ORCID andPablo Otero 1,2ORCID 1 Telecommunications Engineering School, University of Malaga, 29010 Malaga, Spain 2 Institute of Oceanic Engineering Research, University of Malaga, 29010 Malaga, Spain 3 Airbus Defence and Space, UK 4 Department 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/app13010453 Received: 12 November 2022 / Revised: 22 December 2022 / Accepted: 26 December 2022 / Published: 29 December 2022 Download Browse Figures Versions Notes Abstract Deaf 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. (...)es_ES
dc.description.sponsorshipThis research has been partially funded by Universidad de Málaga, Málaga, Spain.es_ES
dc.language.isoenges_ES
dc.publisherIOAP-MDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAprendizaje automático (Inteligencia artificial)es_ES
dc.subject.otherDeaf-mute persones_ES
dc.subject.otherDeep learninges_ES
dc.subject.otherDand gesture recognitiones_ES
dc.subject.otherMotion controlleres_ES
dc.subject.otherSpeech to textes_ES
dc.subject.otherSupervised machine learninges_ES
dc.titleA Novel Machine Learning Based Two-Way Communication System for Deaf and Mutees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.identifier.doihttps://doi.org/10.3390/app13010453
dc.rights.ccAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Atribución 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución 4.0 Internacional