scholarly journals From Smart Homes to Smart-Ready Homes and Communities

2019 ◽  
Vol 47 (3) ◽  
pp. 157-163 ◽  
Author(s):  
Sumi Helal ◽  
Christopher N. Bull
Keyword(s):  
Assisted Living ◽  
Independent Living ◽  
Smart Home ◽  
Smart Homes ◽  
User Needs ◽  
Application Development ◽  
Assistive Environment ◽  
Platform Technology ◽  
Big Picture ◽  
Over Time

Background: People have various and changing needs as they age, and the number of people living with some form of dementia is steadily increasing. Smart homes have a unique potential to provide assisted living but are often designed rigidly with a specific and fixed problem in mind. Objectives: To make smart-ready homes and communities that can be adaptively and easily updated over time to support varying user needs and to deliver the needed assistance, empowerment, and living independence. Method: The design and deployment of programmable assistive environment for older adults. Results: The use of platform technology (a special form of what is known today as the Internet of Things or IoT) has enabled the decoupling of goal setting and application development from sensing and assistive technology deployment and insertion in the assistive environment. Personalising a smart home or changing its applications and its interfaces dynamically as the user needs change was possible and has been demonstrated successfully in one house – the Gator Tech Smart House. Scaling up the platform technology approach to a planned living community is underway at one of UK’s National Health Services (NHS) Healthy New Town projects. Conclusions: There is a great need to integrate technology with living spaces to provide assistance and independent living, but to smarten these spaces for lifelong living, the technology and the smart home applications must be flexible, adaptive, and changeable over time. However, people do not just live at home, they live in communities. Looking at the big picture (communities), as well as the small (homes), we consider how to progress beyond smart-ready homes towards smart-ready communities.

Development of Audio Sensing Technology for Ambient Assisted Living

2012 ◽  
pp. 148-167 ◽  
Author(s):  
Michel Vacher ◽  
François Portet ◽  
Anthony Fleury ◽  
Norbert Noury
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Smart Homes ◽  
Noisy Environment ◽  
Audio Analysis ◽  
Sensing Technology ◽  
Smart Home Environment ◽  
Tactile Interfaces ◽  
Analysis System

One of the greatest challenges in Ambient Assisted Living is to design health smart homes that anticipate the needs of its inhabitant while maintaining their safety and comfort. It is thus essential to ease the interaction with the smart home through systems that naturally react to voice command using microphones rather than tactile interfaces. However, efficient audio analysis in such noisy environment is a challenging task. In this paper, a real-time audio analysis system, the AuditHIS system, devoted to audio analysis in smart home environment is presented. AuditHIS has been tested thought three experiments carried out in a smart home that are detailed. The results show the difficulty of the task and serve as basis to discuss the stakes and the challenges of this promising technology in the domain of AAL.

scholarly journals Predicting Activities of Daily Living with Spatio-Temporal Information

2020 ◽  
Vol 12 (12) ◽  
pp. 214
Author(s):  
Sook-Ling Chua ◽  
Lee Kien Foo ◽  
Hans W. Guesgen
Keyword(s):  
Activities Of Daily Living ◽  
Activity Recognition ◽  
Daily Living ◽  
Independent Living ◽  
Smart Home ◽  
Contextual Information ◽  
Smart Homes ◽  
The Elderly ◽  
Temporal Information ◽  
User Activities

The smart home has begun playing an important role in supporting independent living by monitoring the activities of daily living, typically for the elderly who live alone. Activity recognition in smart homes has been studied by many researchers with much effort spent on modeling user activities to predict behaviors. Most people, when performing their daily activities, interact with multiple objects both in space and through time. The interactions between user and objects in the home can provide rich contextual information in interpreting human activity. This paper shows the importance of spatial and temporal information for reasoning in smart homes and demonstrates how such information is represented for activity recognition. Evaluation was conducted on three publicly available smart-home datasets. Our method achieved an average recognition accuracy of more than 81% when predicting user activities given the spatial and temporal information.

Ageing, Chronic Disease, Technology, and Smart Homes

2011 ◽  
pp. 1539-1553
Author(s):  
Jeffrey Soar
Keyword(s):  
Social Change ◽  
Chronic Disease ◽  
Independent Living ◽  
Smart Home ◽  
Medical Technology ◽  
Self Care ◽  
Smart Homes ◽  
Assistive Technologies ◽  
Coordinated Care ◽  
Innovative Technologies

This chapter explores ageing, chronic disease, technology and social change. Healthcare has been transformed through medical technology but there is much still to be done to enable seamless exchanges between all carers, which is expected to improve safety, quality and efficiency. There is massive potential for technology to transform the experience of ageing including assisting with the management of chronic disease, coordinated care and guided self-care for consumers. Innovative technologies are increasingly available to assist in maintaining health and independent living. This includes telecare, telehealth, assistive technologies, robots and smart homes. A challenge is in providing access to and support in the use of technologies where there are clear benefits to consumers, carers, providers and funders of healthcare. The chapter also reports on the Queensland Smart Home Initiative which is one of several organisations internationally that share a mission of assisting people to be supported through these technologies.

Ageing, Chronic Disease, Technology, and Smart Homes

2011 ◽  
pp. 15-29 ◽  
Author(s):  
Jeffrey Soar
Keyword(s):  
Social Change ◽  
Chronic Disease ◽  
Independent Living ◽  
Smart Home ◽  
Medical Technology ◽  
Self Care ◽  
Smart Homes ◽  
Assistive Technologies ◽  
Coordinated Care ◽  
Innovative Technologies

This chapter explores ageing, chronic disease, technology and social change. Healthcare has been transformed through medical technology but there is much still to be done to enable seamless exchanges between all carers, which is expected to improve safety, quality and efficiency. There is massive potential for technology to transform the experience of ageing including assisting with the management of chronic disease, coordinated care and guided self-care for consumers. Innovative technologies are increasingly available to assist in maintaining health and independent living. This includes telecare, telehealth, assistive technologies, robots and smart homes. A challenge is in providing access to and support in the use of technologies where there are clear benefits to consumers, carers, providers and funders of healthcare. The chapter also reports on the Queensland Smart Home Initiative which is one of several organisations internationally that share a mission of assisting people to be supported through these technologies.

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 A non-intrusive context-aware system for ambient assisted living in smart home

2013 ◽  
Vol 3 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Willy Allègre ◽  
Thomas Burger ◽  
Jean-Yves Antoine ◽  
Pascal Berruet ◽  
Jean-Paul Departe
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Context Aware ◽  
Context Aware System

scholarly journals Evolving user needs and late-mover advantage

2016 ◽  
Vol 15 (1) ◽  
pp. 67-90 ◽  
Author(s):  
Adrien Querbes ◽  
Koen Frenken
Keyword(s):  
User Needs ◽  
Nk Model ◽  
Trade Offs ◽  
Managerial Implications ◽  
First Mover ◽  
Over Time ◽  
Late Movers

We propose a generalized NK-model of late-mover advantage where late-mover firms leapfrog first-mover firms as user needs evolve over time. First movers face severe trade-offs between the provision of functionalities in which their products already excel and the additional functionalities requested by users later on. Late movers, by contrast, start searching when more functionalities are already known and typically come up with superior product designs. We also show that late-mover advantage is more probable for more complex technologies. Managerial implications follow.

Sign in / Sign up

Export Citation Format

Share Document