End User Context Modeling in Ambient Assisted Living

2011 ◽  
pp. 226-247
Author(s):  
Manfred Wojciechowski
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Interface Layer ◽  
Context Modeling ◽  
Smart Environment ◽  
End User ◽  
Context Model ◽  
Intensive Training ◽  
User Context ◽  
Abstraction Levels

Ambient Assisted Living (AAL) services provide intelligent and context aware assistance for elderly people in their home environment. Following the vision of an open AAL service marketplace, such an approach has to support all lifecycle phases of an AAL service, starting with its specification and development until its operation within the user’s smart environment. In AAL the support of a user level context model becomes important. This enables an inhabitant of a smart home to get and give feedback on context without technical expertise and intensive training. At the same time, the context model has to be operational and to support context dependent service adaption and abstraction of the underlying context sensors. This leads to a layered context model for AAL with abstraction levels for different aspects. In this paper we focus on the requirements, the model elements and the concepts of the user interface layer of our approach.

End User Context Modeling in Ambient Assisted Living

2009 ◽  
Vol 1 (3) ◽  
pp. 61-80
Author(s):  
Manfred Wojciechowski
Keyword(s):  
Home Environment ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Interface Layer ◽  
Context Modeling ◽  
End User ◽  
Context Model ◽  
Intensive Training ◽  
User Context ◽  
Abstraction Levels

Ambient Assisted Living (AAL) services provide intelligent and context aware assistance for elderly people in their home environment. Following the vision of an open AAL service marketplace, such an approach has to support all lifecycle phases of an AAL service, starting with its specification and development until its operation within the user’s smart environment. In AAL the support of a user level context model becomes important. This enables an inhabitant of a smart home to get and give feedback on context without technical expertise and intensive training. At the same time, the context model has to be operational and to support context dependent service adaption and abstraction of the underlying context sensors. This leads to a layered context model for AAL with abstraction levels for different aspects. In this paper we focus on the requirements, the model elements and the concepts of the user interface layer of our approach.

Context-Sensitive Spatial Interaction and Ambient Control

2011 ◽  
pp. 513-533 ◽  
Author(s):  
Bernd Krieg-Brückner ◽  
Hui Shi ◽  
Bernd Gersdorf ◽  
Mathias Döhle ◽  
Thomas Röfer
Keyword(s):  
Knowledge Representation ◽  
Assisted Living ◽  
Spatial Interaction ◽  
Ambient Assisted Living ◽  
Spatial Knowledge ◽  
Smart Environment ◽  
Context Sensitive ◽  
Living Lab ◽  
Natural Language Dialogue ◽  
Environment Control

In this chapter, we first briefly introduce the setting: mobility assistants (the wheelchair Rolland and iWalker) and smart environment control in the Bremen Ambient Assisted Living Lab. In several example scenarios, we then outline our contributions to the state of the art, focussing on spatial knowledge representation, reasoning and spatial interaction (multi-modal, but with special emphasis on natural language dialogue) between three partners: the user, a mobility assistant, and the smart environment.

scholarly journals Mobile Robots and Autonomic Ambient Assisted Living

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Guanitta Brady ◽  
Roy Sterritt ◽  
George Wilkie
Keyword(s):  
Mobile Robot ◽  
Assisted Living ◽  
Paradigm Shift ◽  
Daily Living ◽  
Ambient Assisted Living ◽  
Research Topic ◽  
Smart Environment ◽  
Sensor Faults ◽  
Ubiquitous Sensing ◽  
Over Time

Abstract The use of Smart Environments in the delivery of pervasive care is a research topic that has witnessed increasing interest in recent years. These environments aim to deliver pervasive care through ubiquitous sensing by monitoring the occupants Activities of Daily Living. In order for these environments to succeed in achieving their goal, it is crucial that sensors deployed in the environment perform faultlessly. In this research we investigate addressing anomalous sensor behavior through the utilization of a mobile robot. The robot’s role is twofold; it must provide substitution in the presence of suspected sensor faults and act as an observer of anomalous sensor behavior in order to understand the changes that occur in the behavior of sensors deployed within the environment over time. The aim of this work is to explore a paradigm shift to the use of Autonomic Ambient Assisted Living.We have discovered that the use of a mobile robot is a viable means of introducing this paradigm to a Smart Environment.

Multi-sensing Monitoring and Knowledge-driven Analysis for Dementia Assessment

2015 ◽  
Vol 6 (4) ◽  
pp. 77-92 ◽  
Author(s):  
Thanos G. Stavropoulos ◽  
Georgios Meditskos ◽  
Efstratios Kontopoulos ◽  
Ioannis Kompatsiaris
Keyword(s):  
Assisted Living ◽  
Common Knowledge ◽  
Wearable Sensors ◽  
Ambient Assisted Living ◽  
Semantic Interpretation ◽  
Sensor Data ◽  
End User ◽  
People With Dementia ◽  
Service Oriented ◽  
Assessment And Monitoring

DemaWare is a Service-Oriented platform that aids in the timely assessment and monitoring of people with dementia in an Ambient Assisted Living context. This work presents in detail the underlying modules integrated in DemaWare, providing both software and hardware services. The system coordinates the retrieval of raw sensor data from a variety of sources, such as ambient and wearable sensors, and their processing into a common knowledge base. The semantic interpretation performed afterwards reasons upon collected knowledge and infers higher level observations. Finally, all knowledge is presented in suitable end-user applications that support various scenarios, e.g. lab assessment trials and monitoring in nursing home environments.

AAL: Ambient Assisted Living – Unterstützung für ein gesundes Altern und Chancen für Medizin und Pflege

2015 ◽  
Vol 72 (9) ◽  
pp. 561-565 ◽  
Author(s):  
Sabina Misoch
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
End User ◽  
Gesundes Altern

Zusammenfassung. Ambient Assisted Living (AAL) umfasst verschiedene Technologien, denen gemeinsam ist, dass sie versuchen, den Lebensalltag von alten und chronisch kranken Menschen durch digitale, vernetzte assistive Systeme zu unterstützen und somit deren Lebensqualität zu verbessern. Im Beitrag wird dargestellt, was AAL kennzeichnet und welche verschiedenen Einsatzgebiete vorzufinden sind. Es wird aufgezeigt, welche Rolle AAL vor dem Hintergrund der aktuellen gesellschaftlichen Entwicklungen wie dem demografischen Wandel, dem Zuwachs an pflegebedürftigen Personen und dem Trend zur Singularisierung des Alters zukommen kann. Es werden die Einsatzbereiche und Chancen von AAL im medizinischen Bereich dargestellt und abschliessend darauf eingegangen, dass der entscheidende Faktor für die Zukunft von AAL in der Akzeptanz dieser assistiven Systeme durch die End-user liegt.

Mobility Assistance in the Bremen Ambient Assisted Living Lab

GeroPsych ◽  
2010 ◽  
Vol 23 (2) ◽  
pp. 121-130 ◽  
Author(s):  
Bernd Krieg-Brückner ◽  
Thomas Röfer ◽  
Hui Shi ◽  
Bernd Gersdorf
Keyword(s):  
Natural Language ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Touch Screen ◽  
Smart Environment ◽  
Living Lab ◽  
Cognitive Faculties

Various mobility assistants have been developed to enable the Rolland wheelchair and iWalker walker to behave intelligently in order to compensate for diminishing physical and cognitive faculties: A safety assistant ensures that the brakes are applied in time, a driving assistant avoids any obstacles and assists the user when going through doors, and the navigation assistant guides the unit along a route or can drive the user around in an autonomous manner. At the Bremen Ambient Assisted Living Lab, users can interact with these mobility assistants and the smart environment installed there. The goal is to evaluate new ambient assisted living technologies regarding their everyday usability. Various interaction modes are investigated, such as a head joystick, a touch screen, and natural language dialog.

scholarly journals Usability Heuristic Evaluation in AAL Ecosystems

2020 ◽  
Author(s):  
Carlos Romeiro ◽  
Pedro Araújo
Keyword(s):  
Information And Communication Technologies ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Life Quality ◽  
User Interaction ◽  
Evaluation Process ◽  
The Elderly ◽  
Healthcare Services ◽  
Developed Countries ◽  
End User

In the past few  years there has been a significant growth of the elderly population   in both developing and developed countries. This event provided new economic, technical and demographic challenges to current societies in several areas and services. Among them the healthcare services can be highlighted, due to its impact in people daily lives. As a natural response an effort has been made by both the scientific and industrial community to develop alternatives, which could mitigate the current healthcare services bottlenecks and provide means in aiding and improve the end-user life quality. Through a combination of information and communication technologies specialized ecosystems have been developed, however multiple challenges arose, which compromise their adoption and acceptance among the main stakeholders, such as their autonomy, robustness, security, integration, human-computer interactions and usability. As consequence an effort has been made to deal with the technical related bottlenecks, which shifted the development process focus from the end-user to the ecosystems technological impairments. Despite there being user related issues, such as usability, which still remains to be addressed. Therefore this article focuses over the ecosystem’s usability through the analysis of the process used to check the ecosystem’s compliance level with the usability guidelines from Jakob Nielsen and Shneiderman; and the identification of the quantifiable parameters for each principle that could aid in the heuristics evaluation process by maximizing its objectivity improve its overall accuracy. Keywords: Usability, Ambient assisted living, User interaction, Older people, Heuristics analysis

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