Domingo Mari Carmen
Department of Network Engineering, BarcelonaTech (UPC) University, 08860 Castelldefels, Spain.
Sensors (Basel). 2021 Nov 14;21(22):7572. doi: 10.3390/s21227572.
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.
目前，据估计包括儿童在内有超过10亿人（约占世界人口的15%）患有残疾，到2050年这一数字将增至20亿以上。残疾人通常健康水平较差，教育成就较低，经济机会较少，贫困率较高。人工智能和5G能够为帮助残疾人做出重大贡献，使他们能够实现高质量生活。本文概述了机器学习和5G对残疾人的作用。为此，介绍了为残疾人设计的5G网络切片架构。考虑了不同的应用场景及其主要优势，以说明机器学习和5G的相互作用。已识别并解决了关键挑战。
