scholarly journals Wireless smart environment in Ambient Assisted Living for people that suffer from cognitive disabilities

2014 ◽  
Vol 22 (2) ◽  
pp. 158-168
Author(s):  
Marcelo J Villarroel F ◽  
Carlos H Villarroel G
Keyword(s):  
Assisted Living ◽  
Cognitive Disabilities ◽  
Ambient Assisted Living ◽  
Smart Environment

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.

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.

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.

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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