An Overview of Machine Learning and 5G for People with Disabilities

Currently, over a billion people, including children (or about 15% of the world’s population), are estimated to be living with disability, and this figure is going to increase to beyond two billion by 2050. People with disabilities generally experience poorer levels of health, fewer achievements in...

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Autor principal: Mari Carmen Domingo
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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5G
Acceso en línea:https://doaj.org/article/adbc66b7d11444609e105d090a9118ed
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spelling oai:doaj.org-article:adbc66b7d11444609e105d090a9118ed2021-11-25T18:57:32ZAn Overview of Machine Learning and 5G for People with Disabilities10.3390/s212275721424-8220https://doaj.org/article/adbc66b7d11444609e105d090a9118ed2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7572https://doaj.org/toc/1424-8220Currently, over a billion people, including children (or about 15% of the world’s population), are estimated to be living with disability, and this figure is going to increase to beyond two billion by 2050. People with disabilities generally experience poorer levels of health, fewer achievements in education, fewer economic opportunities, and higher rates of poverty. Artificial intelligence and 5G can make major contributions towards the assistance of people with disabilities, so they can achieve a good quality of life. In this paper, an overview of machine learning and 5G for people with disabilities is provided. For this purpose, the proposed 5G network slicing architecture for disabled people is introduced. Different application scenarios and their main benefits are considered to illustrate the interaction of machine learning and 5G. Critical challenges have been identified and addressed.Mari Carmen DomingoMDPI AGarticlemachine learning5Gpeople with disabilitieswireless communicationnetwork slicing architectureapplicationsChemical technologyTP1-1185ENSensors, Vol 21, Iss 7572, p 7572 (2021)
institution DOAJ
collection DOAJ
language EN
topic machine learning
5G
people with disabilities
wireless communication
network slicing architecture
applications
Chemical technology
TP1-1185
spellingShingle machine learning
5G
people with disabilities
wireless communication
network slicing architecture
applications
Chemical technology
TP1-1185
Mari Carmen Domingo
An Overview of Machine Learning and 5G for People with Disabilities
description Currently, over a billion people, including children (or about 15% of the world’s population), are estimated to be living with disability, and this figure is going to increase to beyond two billion by 2050. People with disabilities generally experience poorer levels of health, fewer achievements in education, fewer economic opportunities, and higher rates of poverty. Artificial intelligence and 5G can make major contributions towards the assistance of people with disabilities, so they can achieve a good quality of life. In this paper, an overview of machine learning and 5G for people with disabilities is provided. For this purpose, the proposed 5G network slicing architecture for disabled people is introduced. Different application scenarios and their main benefits are considered to illustrate the interaction of machine learning and 5G. Critical challenges have been identified and addressed.
format article
author Mari Carmen Domingo
author_facet Mari Carmen Domingo
author_sort Mari Carmen Domingo
title An Overview of Machine Learning and 5G for People with Disabilities
title_short An Overview of Machine Learning and 5G for People with Disabilities
title_full An Overview of Machine Learning and 5G for People with Disabilities
title_fullStr An Overview of Machine Learning and 5G for People with Disabilities
title_full_unstemmed An Overview of Machine Learning and 5G for People with Disabilities
title_sort overview of machine learning and 5g for people with disabilities
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/adbc66b7d11444609e105d090a9118ed
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