Combining Artificial Intelligence and NetMedicine for Ambient Assisted Living

2020 ◽  
pp. 1652-1666
Author(s):  
Paolo Sernani ◽  
Andrea Claudi ◽  
Aldo Franco Dragoni

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.

Author(s):  
Paolo Sernani ◽  
Andrea Claudi ◽  
Aldo Franco Dragoni

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.


2008 ◽  
Vol 144 ◽  
pp. 232-237
Author(s):  
Durmus Karayel ◽  
Sinan Serdar Ozkan ◽  
Fahri Vatansever

In this study, an intelligent system model that can evaluate experimental material properties and safety factors is developed. The model contains Artificial Intelligence Technologies such as Artificial Neural Network (ANN) and Fuzzy Logic. It consists of sub modules into interaction. Also, the model can obtain more precision values than interpolation techniques used to classical design. The study contributes to define safety factors, design criterions and safety stress according to a new approach based on information technologies. So, this study can be seen as one of the sub modules of Intelligence Multi Agent System and it can be integrated with Multi Agent System Model for design. Also, it can be used for classical design studies so that results can be quickly obtained. It is expected that this approach will be widely used by designers.


Author(s):  
Panagiotis E. Antoniou ◽  
Evdokimos Konstantinidis ◽  
Antonis S. Billis ◽  
Giorgos Bamparopoulos ◽  
Marianna S. Tsatali ◽  
...  

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.


Author(s):  
Gonçalo Marques

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.


2020 ◽  
Author(s):  
Diogo Abrantes ◽  
Soraia Teles ◽  
Rita Tavares de Sousa ◽  
Alberto Freitas ◽  
Pedro Vieira-Marques ◽  
...  

BACKGROUND The world population is experiencing a demographic shift, which translates into a rising proportion of older people among their inhabitants. This is slowly making way for new markets for care products and services to open. The desire of older people to maintain their independence, while remaining at home, boosted the development of Ambient Assisted Living (AAL) solutions, which can assist them in a variety of ways, in line with their needs when growing older. OBJECTIVE The lack of dissemination of the area, paired with an absence of user-centered and participatory design approaches in these products' development, sided by the low level of adoption of technology by older adults, hinders the uptake of these solutions. The ActiveAdvice platform aims to deliver a web environment for older adults and their relatives, AAL business representatives, as well as governments and municipalities involved in ageing issues across Europe, offering a holistic market overview of AAL products and services, and combining it with a group of valuable functionalities. METHODS Usability tests were performed on the developed platform among a section of its identified end users, in order to evaluate the level of interest, feasibility and usability. The general goal was ultimately to identify the extent to which the interface facilitated a user's ability and motivation to navigate the platform. Therefore, the tests aimed to analyze the usability and attractiveness of the web interface design, information flow, and information architecture by resourcing to the collection of both objective and subjective measures. These would include pre and post-test surveys, along with a series of think-aloud tasks to be performed within the platform. RESULTS Outcomes clarified that the platform's functionalities are mostly aligned with the needs and expectations of the selected end users, as they are actually interested in using it, provided the interaction is simple and familiar. The tests still advocate for an improved design at some points and better disclosure of information, although task completion rates were high, and participants had a satisfying experience when navigating the platform, mostly brought by the recognition of a sense of purpose. CONCLUSIONS The AAL field could definitely benefit from more tools of knowledge and promulgation, so there is a need to create a functional platform which is to be used not only by older adults but also caretakers, business owners and governmental employees. Not only that, but simultaneously being responsible for disseminating the importance of AAL, available solutions, and how they can improve one's quality of life. It can be challenging, but the findings enlightened us on a few peculiarities on interface design, information architecture, user needs and preferred functionalities, which should be applied on future developments of similar platforms with related services.


2011 ◽  
Vol 15 (4) ◽  
pp. 377-387 ◽  
Author(s):  
Andrés Muñoz ◽  
Juan Carlos Augusto ◽  
Ana Villa ◽  
Juan Antonio Botía

Author(s):  
Almudena Vicente Tocino ◽  
Ana Isabel Calvo Alcalde ◽  
Juan José Andrés Gutiérrez ◽  
Iván Álvarez Navia ◽  
Francisco J. García Peñalvo ◽  
...  

According to previsions, Spanish population over 65 years old will soon be an important fraction. For the EU region, old-age dependency ratios will more than double in 2000 to 2050, decreasing, at the same time, the ratio of persons of working age to every elderly people. These data show the need for some helping technologies that make possible to deal with this scenario. One of the possibilities explored is the use of some kind of intelligence at home. This chapter describes the current status of the ambient intelligence (Aarts, Rabaey, & Weber, 2005) initiatives that link multi-agent technologies with personal monitoring for health and wellbeing. The aim is to explore various enabling technologies based on environmental intelligence, by means of which the user interacts with his or her home in various scenarios: home assistance and wellbeing, entertainment, identity management in a home environment, and location management in a home. All these possibilities are intended to satisfy the objective of home assistance and wellbeing, and it fits well within Ambient Assisted Living Joint Programme (AAL) (“Ambient Assisted Living,” 2008) partly funded by the European Commission. The authors will focus this technology on a personal health monitor integrated with the multi-agent system for home environments created by Telefónica R+D in cooperation with the Departamento de Informática y Automática of the University of Salamanca and the Computer Science Department of the University of Valladolid, Spain. This research aims to explore the use of several device discovery technologies and ambient intelligence techniques in order to allow the user interaction at home as transparent as possible. To achieve this goal a multi-agent system is proposed, focussing on knowledge representation for multi-agent system communication and personal health monitoring.


Sign in / Sign up

Export Citation Format

Share Document