Ambient Assisted Living and Internet of Things

2019 ◽  
pp. 100-115 ◽  
Author(s):  
Gonçalo Marques
Keyword(s):  
Internet Of Things ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Physical Object ◽  
World Population ◽  
Ageing Population ◽  
Communication Devices ◽  
Great Relevance ◽  
The One ◽  
Systems Architectures

The study of systems and architectures for ambient assisted living (AAL) is undoubtedly a topic of great relevance given the ageing of the world population. On the one hand, AAL technologies are designed to meet the needs of the ageing population in order to maintain their independence as long as possible. On the other hand, internet of things (IoT) proposes that various “things,” which include not only communication devices but also every other physical object on the planet, are going to be connected and will be controlled across the internet. The continuous technological advancements turn possible to build smart objects with great capabilities for sensing and connecting turn possible several advancements in AAL and IoT systems architectures. Advances in networking, sensors, and embedded devices have made it possible to monitor and provide assistance to people in their homes. This chapter reviews the state of art on AAL and IoT and their applications for enhanced indoor living environments and occupational health.

Instrumenting the eHome and Preparing Elderly Pilots

2015 ◽  
pp. 335-361 ◽  
Author(s):  
Panagiotis E. Antoniou ◽  
Evdokimos Konstantinidis ◽  
Antonis S. Billis ◽  
Giorgos Bamparopoulos ◽  
Marianna S. Tsatali ◽  
...  
Keyword(s):  
Assisted Living ◽  
Healthcare Costs ◽  
Healthy Lifestyle ◽  
Low Cost ◽  
Ambient Assisted Living ◽  
Daily Activities ◽  
World Population ◽  
Methodological Framework ◽  
Current Trends ◽  
First World

In this chapter the lessons learnt from the build-up and integration of the USEFIL are demonstrated. First an introduction to Ambient Assisted Living (AAL) platforms, the infrastructure for eHomes of any purpose eHome is presented, in the context of their emergence as a viable way for managing healthcare costs in an aging first world population. Then technical and sustainability issues that are present after several years of maturation are touched upon. The USEFIL project's aim at an AAL platform that utilizes low cost “off-the-shelf” technologies in order to develop immediately applicable services, to assist elderly people in maintaining an independent, healthy lifestyle and program of daily activities is then briefly discussed. Afterwards, the methodological framework as well as principal results of the preparation and running of the pre-piloting phase of that platform are presented. Closing, current trends are explored in conjunction with future directions as triggered by this project in the context of cognitive impaired elderly support.

Combining Artificial Intelligence and NetMedicine for Ambient Assisted Living

2020 ◽  
pp. 1652-1666
Author(s):  
Paolo Sernani ◽  
Andrea Claudi ◽  
Aldo Franco Dragoni
Keyword(s):  
Artificial Intelligence ◽  
Assisted Living ◽  
Local Governments ◽  
Intelligent System ◽  
Ambient Assisted Living ◽  
World Population ◽  
Distributed Sensor ◽  
Distributed Sensor Network ◽  
Multi Agent ◽  
Analyse Data

World population is shifting towards older ages: according to recent estimates there will be 1.5 billion people over 65 years old in 2050. Local governments, international institutions, care organizations and industry are fostering the research community to find solutions to face the unprecedented challenges raised by population ageing. A combination of Artificial Intelligence and NetMedicine could be ideal to face these challenges: they provide the means to develop an intelligent system and simultaneously to distribute it over a network, allowing the communication over the internet, if needed. Hence, the authors present a Multi-Agent Architecture for Ambient Assisted Living (AAL): it is the model for a system to manage a distributed sensor network composed by ambient and biometric sensors. The system should analyse data and pro-actively decide to trigger alarms if anomalies are detected. The authors tested the architecture implementing a prototypical Multi-Agent System (MAS), based on Belief-Desire-Intention (BDI) paradigm: the Virtual Carer.

Ageing population supported by ambient-assisted living in the Kingdom of Saudi Arabia

2022 ◽  
pp. 43-78
Author(s):  
Majid H. Alsulami ◽  
Anthony S. Atkins ◽  
Ali S. Sorour ◽  
Russell J. Campion
Keyword(s):  
Saudi Arabia ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Ageing Population ◽  
Kingdom Of Saudi Arabia

Combining Artificial Intelligence and NetMedicine for Ambient Assisted Living

2015 ◽  
Vol 6 (4) ◽  
pp. 62-76 ◽  
Author(s):  
Paolo Sernani ◽  
Andrea Claudi ◽  
Aldo Franco Dragoni
Keyword(s):  
Artificial Intelligence ◽  
Assisted Living ◽  
Local Governments ◽  
Intelligent System ◽  
Ambient Assisted Living ◽  
World Population ◽  
Distributed Sensor ◽  
Distributed Sensor Network ◽  
Multi Agent ◽  
Analyse Data

World population is shifting towards older ages: according to recent estimates there will be 1.5 billion people over 65 years old in 2050. Local governments, international institutions, care organizations and industry are fostering the research community to find solutions to face the unprecedented challenges raised by population ageing. A combination of Artificial Intelligence and NetMedicine could be ideal to face these challenges: they provide the means to develop an intelligent system and simultaneously to distribute it over a network, allowing the communication over the internet, if needed. Hence, the authors present a Multi-Agent Architecture for Ambient Assisted Living (AAL): it is the model for a system to manage a distributed sensor network composed by ambient and biometric sensors. The system should analyse data and pro-actively decide to trigger alarms if anomalies are detected. The authors tested the architecture implementing a prototypical Multi-Agent System (MAS), based on Belief-Desire-Intention (BDI) paradigm: the Virtual Carer.

scholarly journals Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1375 ◽  
Author(s):  
Gonçalo Marques ◽  
Ivan Miguel Pires ◽  
Nuno Miranda ◽  
Rui Pitarma
Keyword(s):  
Social Networks ◽  
Air Quality ◽  
Internet Of Things ◽  
Indoor Air ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Assistive Robot ◽  
Living Environments

This paper presents iAirBot, an assistive robot for indoor air quality monitoring based on Internet of Things. The system can communicate with occupants and triggers alerts automatically using social networks. The information can be accessed by the caregiver to plan interventions for enhanced living environments in a timely manner. The results are promising, as the proposed architecture presents a cost-effective assistive robot for indoor quality monitoring. It connects several technological fields and knowledge areas, such as ambient assisted living, Internet of Things, wireless sensor networks, social networks, and indoor air quality. When compared to other systems, iAirBot stands out for the modularity and scalability of its sensors network, as well as the use of social networks for information sharing. Therefore, iAirBot is a significant system for enhanced living environments, occupational health, and well-being.

scholarly journals Deep learning-based ambient assisted living for self-management of cardiovascular conditions

2021 ◽  
Author(s):  
Maria Ahmed Qureshi ◽  
Kashif Naseer Qureshi ◽  
Gwanggil Jeon ◽  
Francesco Piccialli
Keyword(s):  
Deep Learning ◽  
Cardiovascular Diseases ◽  
Learning Strategies ◽  
Assisted Living ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
World Health ◽  
Self Management ◽  
Ageing Population ◽  
Cloud Models

AbstractAccording to the World Health Organization, cardiovascular diseases contribute to 17.7 million deaths per year and are rising with a growing ageing population. In order to handle these challenges, the evolved countries are now evolving workable solutions based on new communication technologies such as ambient assisted living. In these solutions, the most well-known solutions are wearable devices for patient monitoring, telemedicine and mHealth systems. This systematic literature review presents the detailed literature on ambient assisted living solutions and helps to understand how ambient assisted living helps and motivates patients with cardiovascular diseases for self-management to reduce associated morbidity and mortalities. Preferred reporting items for systematic reviews and meta-analyses technique are used to answer the research questions. The paper is divided into four main themes, including self-monitoring wearable systems, ambient assisted living in aged populations, clinician management systems and deep learning-based systems for cardiovascular diagnosis. For each theme, a detailed investigation shows (1) how these new technologies are nowadays integrated into diagnostic systems and (2) how new technologies like IoT sensors, cloud models, machine and deep learning strategies can be used to improve the medical services. This study helps to identify the strengths and weaknesses of novel ambient assisted living environments for medical applications. Besides, this review assists in reducing the dependence on caregivers and the healthcare systems.

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