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

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.

Author(s):  
Bernd Krieg-Brückner ◽  
Hui Shi ◽  
Bernd Gersdorf ◽  
Mathias Döhle ◽  
Thomas Röfer

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.


2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Guanitta Brady ◽  
Roy Sterritt ◽  
George Wilkie

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.


i-com ◽  
2012 ◽  
Vol 11 (3) ◽  
pp. 24-29
Author(s):  
Asarnusch Rashid ◽  
Christian Reichelt ◽  
Natalie Röll ◽  
Tom Zentek

ZusammenfassungSeit über vier Jahren setzt das FZI Forschungszentrum Informatik die Living Lab Methode zur Forschung an Ambient Assisted Living (AAL) Technologien ein. Ca. 15 wissenschaftliche Mitarbeiter aus unterschiedlichen Projekten und Disziplinen arbeiten hier zusammen, um innovative Assistenzsysteme für ältere bzw. körperlich und kognitiv eingeschränkte Menschen zu entwickeln. Das Living Lab erwies als sehr hilfreich, um zum einen techni-sche Möglichkeiten aufzuzeigen und zum anderen Benut-zerakzeptanzanalysen und Usability Tests von AAL Tech-nologien durchzuführen. Dieser Beitrag beschreibt den theoretischen Rahmen der Living Lab Methodik und die Erfahrungen mit der Umsetzung des Living Lab zur For-schung an AAL Technologien.


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.


Author(s):  
Annette Spellerberg ◽  
Lynn Schelisch

The aim of “Ambient Assisted Living” -devices is to increase comfort and safety and to provide support for elderly people in their homes. In a housing estate in Kaiserslautern, Germany, a touch screen tablet-PC called PAUL (Personal Assistive Unit for Living), numerous sensors and an EIB/KNX-Bus were installed in 20 apartments. Within the framework of the project “Assisted Living”, Urban Sociologists from the University of Kaiserslautern analyzed the elderly people’s experiences and acceptance of the implemented home automation devices, especially of the tablet-PC over a period of two years of usage. Besides technical aspects social issues like community building are focused in the project. The main results of the project will be presented in the chapter.


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