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

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.

Author(s):  
Thanos G. Stavropoulos ◽  
Georgios Meditskos ◽  
Efstratios Kontopoulos ◽  
Ioannis Kompatsiaris

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.


2020 ◽  
Vol 6 (3) ◽  
pp. 388-391
Author(s):  
Roman Siedel ◽  
Tobias Scheck ◽  
Ana C. Perez Grassi ◽  
Julian B. Seuffert ◽  
André Apitzsch ◽  
...  

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.


2015 ◽  
Vol 72 (9) ◽  
pp. 561-565 ◽  
Author(s):  
Sabina Misoch

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.


2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Filippo Palumbo ◽  
Paolo Barsocchi ◽  
Francesco Furfari ◽  
Erina Ferro

This paper describes a service-oriented middleware platform for ambient assisted living and its use in two different bed activity services: bedsore prevention and sleeping monitoring. A detailed description of the middleware platform, its elements and interfaces, as well as a service that is able to classify some typical user's positions in the bed is presented. Wireless sensor networks are supposed to be widely deployed in indoor settings and on people's bodies in tomorrow's pervasive computing environments. The key idea of this work is to leverage their presence by collecting the received signal strength measured among fixed general-purpose wireless sensor devices, deployed in the environment, and wearable ones. The RSS measurements are used to classify a set of user's positions in the bed, monitoring the activities of the user, and thus supporting the bedsores and the sleep monitoring issues. Moreover, the proposed services are able to decrease the energy consumption by exploiting the context information coming from the proposed middleware.


2011 ◽  
Vol 4 (1) ◽  
pp. 67-84 ◽  
Author(s):  
Michele Amoretti ◽  
Sergio Copelli ◽  
Folker Wientapper ◽  
Francesco Furfari ◽  
Stefano Lenzi ◽  
...  

Author(s):  
Manfred Wojciechowski

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.


2014 ◽  
Vol 21 (3) ◽  
pp. 707-765 ◽  
Author(s):  
Peter Novitzky ◽  
Alan F. Smeaton ◽  
Cynthia Chen ◽  
Kate Irving ◽  
Tim Jacquemard ◽  
...  

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