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.

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.

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.

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

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.

Multi-Sensing Monitoring and Knowledge-Driven Analysis for Dementia Assessment

2018 ◽  
pp. 297-313
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.

Ambient Assisted Living Systems: The Scope of Research and Development

2017 ◽  
Vol 3 (2) ◽  
pp. 21
Author(s):  
Ashish D Patel ◽  
Jigarkumar H. Shah
Keyword(s):  
Assisted Living ◽  
Independent Living ◽  
Intelligent Systems ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
Smart Devices ◽  
Economic Changes ◽  
Aged Population ◽  
The People ◽  
Living Person

The aged population of the world is increasing by a large factor due to the availability of medical and other facilities. As the number grows rapidly, requirements of this segment of age (65+) are increasing rapidly as well as the percentage of aged persons living alone is also increasing with the same rate due to the inevitable socio-economic changes. This situation demands the solution of many problems like loneliness, chronic conditions, social interaction, transportation, day-to-day life and many more for independent living person. A large part of aged population may not be able to interact directly with new technologies. This sought some serious development towards the use of intelligent systems i.e. smart devices which helps the people with their inability to use the available as well future solutions. Ambient Assisted Living (AAL) is the answer to these problems. In this paper, issues related to AAL systems are studied. Study of challenges and limitations of this comparatively new field will help the designers to remove the barriers of AAL systems.

scholarly journals Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia

2020 ◽  
Vol 6 (3) ◽  
pp. 388-391
Author(s):  
Roman Siedel ◽  
Tobias Scheck ◽  
Ana C. Perez Grassi ◽  
Julian B. Seuffert ◽  
André Apitzsch ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Fall Detection ◽  
Quality Estimation ◽  
Emergency Situations ◽  
People With Dementia ◽  
Affected Person ◽  
Development State ◽  
Current Behaviour

AbstractIn recent years, the demographic change in conjunction with a lack of professional caregivers led to retirement homes reaching capacity. The Alzheimer Disease International stated that over 50 million people suffered from dementia in 2019 worldwide and twice the amount will presumably be effected in 2030. The field of Ambient Assisted Living (AAL) tackles this problem by facilitating technical system-aided everyday life. AUXILIA is such an AAL system and does not only support elderly people with dementia in an early phase, but also monitors their activities to provide behaviour analysis results for care attendants, relatives and physicians. Moreover, the system is capable of recognizing emergency situations like human falls. Furthermore, sleep quality estimation is employed to be able to draw conclusions about the current behaviour of an affected person. This article presents the current development state of AUXILIA.

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