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Internet of Things for Ambient Assisted Living
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Internet of Things for Ambient Assisted Living

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 12274

Special Issue Editors

Prof. Dr. António Manuel De Jesus Pereira

E-Mail Website
Guest Editor
Computer Science Department, School of Technology and Management, Computer Science and Communications Research Centre, Polytechnic of Leiria, Campus 2, Morro do Lena-Alto do Vieiro, Apartado 4163, 2411-901 Leiria, Portugal
Interests: Internet of Things; SMART IoT Ecosystems; Internet of Unmanned Vehicles; Industry 4.0; next-generation networks and services and ambient assisted living
Special Issues, Collections and Topics in MDPI journals
Dr. Nuno Alexandre Ribeiro Costa

E-Mail Website
Guest Editor
Computer Science Department, School of Technology and Management, Computer Science and Communications Research Centre, Polytechnic of Leiria, Campus 2, Morro do Lena – Alto do Vieiro, Apartado 4163, 2411-901 Leiria, Portugal
Interests: smart spaces; smart objects; WSN; systems integration; embedded systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things refers to the technology developed to integrate the physical world, including people, into the Internet being considered as a key-enabling technology to achieve the so-called Ambient Intelligence (AmI). The AmI concept refers to smart electronic environments devoted to being sensitive and responsive to the presence of people, by providing care and wellbeing through the support of everyday tasks and activities while preventing hazardous situations.

Ambient Assisted Living (AAL) is a research area which has emerged from AmI to provide the same services but tailored to special groups of people such as the elderly, people with chronic conditions, and people with disabilities. AAL is even viewed as a solution to deal with the challenges associated with the aging population, mainly by trying to aid and assist the population in living longer, more safely, and independently in their natural environment.

The Internet of Things paradigm plays a paramount role in AmI and AAL by providing the infrastructure for ecosystems of interconnected devices, services and applications, able to acquire, exchange, and process data while providing security, scalability, and cost savings.

However, the development of IoT and AAL platforms is still presenting several issues and challenges to overcome where safety, security, and privacy are the most critical ones. Additionally, issues related with standardization, multisector common architecture, power sources, and energy consumption are still requiring attention.

In this Special Issue, we will cover IoT systems, architectures, and services related with AAL. We invite researchers who are working on IoT systems for AAL, ranging from smart object architectures and services to cloud computing, fog computing, and edge computing, among others, to submit their high-quality original manuscript for publication in this Special Issue.

Prof. Dr. António Manuel De Jesus Pereira
Prof. Dr. Nuno Alexandre Ribeiro Costa
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • IoT for AAL: devices, communication networks, protocols, architectures, applications and services
  • Big data and IoT data analytics
  • Cloud computing, fog computing and edge computing
  • AI and Edge AI for AAL
  • Smart objects’ architectures and services
  • Security frameworks for IoT and AAL
  • Cloud services and analytics
  • Scalable and secure architectures for IoT
  • Microservices and serverless environments
  • Energy efficient architectures for IoT applications
  • Intelligent home appliances
  • Connected and secure homes
  • Energy efficient protocols for IoT
  • Software defined networks for AAL
  • Virtual and augmented reality for AAL
  • Robotics for AAL

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Published Papers (3 papers)

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17 pages, 1484 KiB  
Article
Security Mechanisms of a Mobile Health Application for Promoting Physical Activity among Older Adults
by David Bastos, José Ribeiro, Fernando Silva, Mário Rodrigues, Carlos Rabadão, Antonio Fernández-Caballero, João Paulo Barraca, Nelson Pacheco Rocha and António Pereira
Sensors 2021, 21(21), 7323; https://doi.org/10.3390/s21217323 - 3 Nov 2021
Cited by 3 | Viewed by 2304
Abstract
Physical activity contributes to the maintenance of health conditions and functioning. However, the percentage of older adults who comply with the recommendations for physical activity levels is low when compared to the same percentages on younger groups. The SmartWalk system aims to encourage [...] Read more.
Physical activity contributes to the maintenance of health conditions and functioning. However, the percentage of older adults who comply with the recommendations for physical activity levels is low when compared to the same percentages on younger groups. The SmartWalk system aims to encourage older adults to perform physical activity (i.e., walking in the city), which is monitored and adjusted by healthcare providers for best results. The study reported in this article focused on the implementation of SmartWalk security services to keep personal data safe during communications and while at rest, which were validated considering a comprehensive use case. The security framework offers various mechanisms, including an authentication system that was designed to complement the pairs of usernames and passwords with trusted execution environments and token-based features, authorization with different access levels, symmetric and asymmetric key cryptography, critical transactions review, and logging supported by blockchain technology. The resulting implementation contributes for a common understanding of the security features of trustful smart cities’ applications, which conforms with existing legislation and regulations. Full article
(This article belongs to the Special Issue Internet of Things for Ambient Assisted Living)
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21 pages, 2264 KiB  
Review
An Overview of Machine Learning and 5G for People with Disabilities
by Mari Carmen Domingo
Sensors 2021, 21(22), 7572; https://doi.org/10.3390/s21227572 - 14 Nov 2021
Cited by 8 | Viewed by 4367
Abstract
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, [...] Read more.
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. Full article
(This article belongs to the Special Issue Internet of Things for Ambient Assisted Living)
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24 pages, 1558 KiB  
Systematic Review
Augmented Humanity: A Systematic Mapping Review
by Graciela Guerrero, Fernando José Mateus da Silva, Antonio Fernández-Caballero and António Pereira
Sensors 2022, 22(2), 514; https://doi.org/10.3390/s22020514 - 10 Jan 2022
Cited by 15 | Viewed by 4509
Abstract
Augmented humanity (AH) is a term that has been mentioned in several research papers. However, these papers differ in their definitions of AH. The number of publications dealing with the topic of AH is represented by a growing number of publications that increase [...] Read more.
Augmented humanity (AH) is a term that has been mentioned in several research papers. However, these papers differ in their definitions of AH. The number of publications dealing with the topic of AH is represented by a growing number of publications that increase over time, being high impact factor scientific contributions. However, this terminology is used without being formally defined. The aim of this paper is to carry out a systematic mapping review of the different existing definitions of AH and its possible application areas. Publications from 2009 to 2020 were searched in Scopus, IEEE and ACM databases, using search terms “augmented human”, ”human augmentation” and “human 2.0”. Of the 16,914 initially obtained publications, a final number of 133 was finally selected. The mapping results show a growing focus on works based on AH, with computer vision being the index term with the highest number of published articles. Other index terms are wearable computing, augmented reality, human–robot interaction, smart devices and mixed reality. In the different domains where AH is present, there are works in computer science, engineering, robotics, automation and control systems and telecommunications. This review demonstrates that it is necessary to formalize the definition of AH and also the areas of work with greater openness to the use of such concept. This is why the following definition is proposed: “Augmented humanity is a human–computer integration technology that proposes to improve capacity and productivity by changing or increasing the normal ranges of human function through the restoration or extension of human physical, intellectual and social capabilities”. Full article
(This article belongs to the Special Issue Internet of Things for Ambient Assisted Living)
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