Ambient Intelligence in Assisted Living: Enable Elderly People to Handle Future Interfaces

2007 ◽  
pp. 103-112 ◽  
Author(s):  
Thomas Kleinberger ◽  
Martin Becker ◽  
Eric Ras ◽  
Andreas Holzinger ◽  
Paul Müller
Keyword(s):  
Elderly People ◽  
Assisted Living ◽  
Ambient Intelligence

System for Assistance on Bath of Bedridden Elderly People

2014 ◽  
Author(s):  
Karolina Bezerra ◽  
José Machado ◽  
Vitor Carvalho ◽  
Filomena Soares ◽  
Bruno Silva ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Elderly People ◽  
Conceptual Design ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
The Other ◽  
Mechatronic System ◽  
Rehabilitation Centers ◽  
Aged Person

From Ambient Assisted Living (AAL) perspective it is important to have information regarding the type of care needed by bedridden elderly people (BEP) living in their homes, in order to support independence, autonomy and maximize their quality of life. Some basic tasks as eating, taking a bath and the hygiene cares may be difficult to execute, regarding that almost always the main caregiver is the other element of the couple (husband or wife). Following this trend, the development of mechatronic devices is of upmost importance in creating solutions to facilitate these tasks. This paper presents the conceptual design of a mechatronic system especially devoted to the assistance during the bath of BEP. Issues as reducing the number of caregivers to only one to assist the bath and reducing the system’s handling complexity (because most of the time it will be used by an aged person) are considered. Visits to rehabilitation centers and hospitals, and respective working meetings, are considered in the development of the proposed mechatronic system.

On Dependability Issues in Ambient Intelligence Systems

2011 ◽  
Vol 3 (3) ◽  
pp. 18-27
Author(s):  
Marcello Cinque ◽  
Antonio Coronato ◽  
Alessandro Testa
Keyword(s):  
Assisted Living ◽  
Intelligent Systems ◽  
Ambient Intelligence ◽  
Ambient Assisted Living ◽  
Smart Environments ◽  
Practical Application ◽  
Smart Systems ◽  
Computing Paradigm ◽  
Ambient Intelligent ◽  
Verification Techniques

Ambient Intelligence (AmI) is the emerging computing paradigm used to build next-generation smart environments. It provides services in a flexible, transparent, and anticipative manner, requiring minimal skills for human-computer interaction. Recently, AmI is being adapted to build smart systems to guide human activities in critical domains, such as, healthcare, ambient assisted living, and disaster recovery. However, the practical application to such domains generally calls for stringent dependability requirements, since the failure of even a single component may cause dangerous loss or hazard to people and machineries. Despite these concerns, there is still little understanding on dependability issues in Ambient Intelligent systems and on possible solutions. This paper provides an analysis of the AmI literature dealing with dependability issues and to propose an innovative architectural solution to such issues, based on the use of runtime verification techniques.

Cognitive Internet of Everything (CIoE)

2020 ◽  
pp. 1212-1238
Author(s):  
Gopal Singh Jamnal ◽  
Xiaodong Liu ◽  
Lu Fan ◽  
Muthu Ramachandran
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Intelligence ◽  
Clustering Algorithms ◽  
Critical Evaluation ◽  
Internet Of Everything ◽  
Metropolitan Cities ◽  
New Information ◽  
Ambient Intelligent ◽  
Input Dataset

In today's world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not rely on the users' instructions (Wanglei, 2015). The ambient intelligence is a sensational new information technology paradigm in which people are empowered for assisted living through multiple IoTs sensors environment that are aware of inhabitant presence and context and highly sensitive, adaptive and responsive to their needs. A noble ambient intelligent environment are characterized by their ubiquity, transparency and intelligence which seamlessly integrated into the background and invisible to surrounded users/inhabitant. Cognitive IoE (Internet of Everything) is a new type of pervasive computing. As the ambient smart home is into research only from a couple of years, many research outcomes are lacking potentials in ambient intelligence and need to be more dug around for better outcomes. As a result, an effective architecture of CIoE for ambient intelligent space is missing in other researcher's work. An unsupervised and supervised methods of machine learning can be applied in order to classify the varied and complex user activities. In the first step, by using fuzzy set theory, the input dataset value can be fuzzified to obtain degree of membership for context from the physical layer. In the second step, using K-pattern clustering algorithms to discover pattern clusters and make dynamic rules based on identified patterns. This chapter provides an overview, critical evaluation of approaches and research directions to CIoE.

scholarly journals An ambient intelligence system for assisted living

2017 ◽  
Author(s):  
Alessandra De Paola ◽  
Pierluca Ferraro ◽  
Salvatore Gaglio ◽  
Giuseppe Lo Re ◽  
Marco Morana ◽  
...  
Keyword(s):  
Assisted Living ◽  
Ambient Intelligence ◽  
Intelligence System

scholarly journals Unobtrusive Wireless Monitoring System for Assisted Living and Improving the Wellbeing of Elderly People

2011 ◽  
Vol 307 ◽  
pp. 012039
Author(s):  
Aidan Browne ◽  
Richard Duncliffe ◽  
James Spillane ◽  
Colin Walsh ◽  
Martin Hill ◽  
...  
Keyword(s):  
Elderly People ◽  
Monitoring System ◽  
Assisted Living ◽  
Wireless Monitoring
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