scholarly journals ComfOnt: A Semantic Framework for Indoor Comfort and Energy Saving In Smart Homes

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1449 ◽  
Author(s):  
Daniele Spoladore ◽  
Atieh Mahroo ◽  
Alberto Trombetta ◽  
Marco Sacco
Keyword(s):  
Energy Consumption ◽  
Assisted Living ◽  
Context Awareness ◽  
Smart Home ◽  
Energy Savings ◽  
Ambient Assisted Living ◽  
Daily Activities ◽  
Sensors And Actuators ◽  
Semantic Framework ◽  
Indoor Comfort

This work introduces ComfOnt, a semantic framework developed within the context of ambient assisted living, context awareness, and ambient intelligence Italian research projects. ComfOnt leverages knowledge regarding Smart Home inhabitants and their particular needs, the devices deployed inside the domestic environment (appliances, sensors, and actuators), the amount of their energy consumption, and indoor comfort metrics to provide dwellers with customized services. Developed reusing widely adopted ontologies, ComfOnt aims at providing inhabitants with the possibility of having personalized indoor comfort in their living environments and at helping them in scheduling their daily activities requiring appliances; in fact, the proposed semantic framework enables the representation of appliances’ energy consumption and the energy profile of the Smart Home, thus assisting the dwellers in avoiding power cuts and fostering energy savings. ComfOnt serves as a knowledge base for a prototypical application (DECAM) dedicated to Smart Home inhabitants; the architecture and the functionalities of DECAM are here presented.

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

Semantic Framework for Context-Aware Monitoring of Ambient Assisted Living Ecosystems

2015 ◽  
pp. 573-602
Author(s):  
Lyazid Sabri ◽  
Abdelghani Chibani ◽  
Yacine Amirat ◽  
Gian Zarri ◽  
Patrick Gatellier
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Context Aware ◽  
Semantic Framework

scholarly journals Context Awareness Technology Using Parallel Mining for Ambient Assisted Living System

2018 ◽  
Vol 7 (2.19) ◽  
pp. 52
Author(s):  
J Vivek ◽  
Gandla Maharnisha ◽  
Gandla Roopesh Kumar ◽  
Ch Karun Sagar ◽  
R Arunraj
Keyword(s):  
Health Care ◽  
Big Data ◽  
Knowledge Discovery ◽  
Assisted Living ◽  
Context Awareness ◽  
Health Care Services ◽  
Ambient Assisted Living ◽  
Living System ◽  
Health Condition ◽  
Parallel Mining

In  this  paper,  context  awareness  is  a  promising  technology  that  provides  health care services and a niche  area of big data paradigm. The   drift  in  Knowledge  Discovery  from  Data  refers  to  a  set  of  activities  designed  to refine and  extract  new knowledge from complex  datasets.  The   proposed  model  facilitates  a  parallel  mining  of  frequent item sets for Ambient Assisted Living (AAL) System [a.k.a. Health  Care [System]  of  big  data that  reside   inside  a  cloud  environment.  We  extend  a  knowledge  discovery framework for  processing  and  classifying  the  abnormal  conditions of patients having fluctuations in Blood Pressure (BP) and Heart Rate(HR) and storing  this data  sets  called  Big data  into Cloud to access from  anywhere   when  needed.   This   accessed data is used to compare the new data with it, which helps to know the patients health condition.  

A Conceptual Framework for the Design and Development of AAL Services

2013 ◽  
pp. 568-586 ◽  
Author(s):  
Alexandra Queirós ◽  
Joaquim Alvarelhão ◽  
Anabela G. Silva ◽  
António Teixeira ◽  
Nelson Pacheco da Rocha
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
International Classification Of Functioning ◽  
Design And Development ◽  
Term Care ◽  
Daily Lives ◽  
Semantic Framework ◽  
Research Investment ◽  
Strong Focus

A digital environment with a pervasive and unobtrusive intelligence able to proactively support elderly people in their daily lives, enabling them to live independently for longer, and reducing the need for long term care is the fundamental idea of the Ambient Assisted Living (AAL). After considerable research investment, there is a good understanding of the domain problem. However, the need to broaden the scope of problems being addressed is undeniable. Ecological approaches for design and development of AAL services are required in order to reinforce a strong focus on people. The chapter presents a comprehensive model based on the International Classification of Functioning Disability and Health (ICF) to characterize users, theirs contexts, activities, and participation, and to structure a semantic framework for AAL services.

Instrumenting the eHome and Preparing Elderly Pilots

2015 ◽  
pp. 335-361 ◽  
Author(s):  
Panagiotis E. Antoniou ◽  
Evdokimos Konstantinidis ◽  
Antonis S. Billis ◽  
Giorgos Bamparopoulos ◽  
Marianna S. Tsatali ◽  
...  
Keyword(s):  
Assisted Living ◽  
Healthcare Costs ◽  
Healthy Lifestyle ◽  
Low Cost ◽  
Ambient Assisted Living ◽  
Daily Activities ◽  
World Population ◽  
Methodological Framework ◽  
Current Trends ◽  
First World

In this chapter the lessons learnt from the build-up and integration of the USEFIL are demonstrated. First an introduction to Ambient Assisted Living (AAL) platforms, the infrastructure for eHomes of any purpose eHome is presented, in the context of their emergence as a viable way for managing healthcare costs in an aging first world population. Then technical and sustainability issues that are present after several years of maturation are touched upon. The USEFIL project's aim at an AAL platform that utilizes low cost “off-the-shelf” technologies in order to develop immediately applicable services, to assist elderly people in maintaining an independent, healthy lifestyle and program of daily activities is then briefly discussed. Afterwards, the methodological framework as well as principal results of the preparation and running of the pre-piloting phase of that platform are presented. Closing, current trends are explored in conjunction with future directions as triggered by this project in the context of cognitive impaired elderly support.

scholarly journals A Radar-Based Smart Sensor for Unobtrusive Elderly Monitoring in Ambient Assisted Living Applications

2017 ◽  
Author(s):  
Giovanni Diraco ◽  
Alessandro Leone ◽  
Pietro Siciliano
Keyword(s):  
Technology Acceptance ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Vital Signs ◽  
Ultra Wideband ◽  
Daily Activities ◽  
Smart Sensor ◽  
Body Movements ◽  
Ambient Lighting ◽  
Wideband Radar

Continuous in-home monitoring of older adults living alone aims to improve their quality of life and independence, by detecting early signs of illness and functional decline or emergency conditions. To meet requirements for technology acceptance by seniors (unobtrusiveness, non-intrusiveness, privacy-preservation), this study presents and discusses a new smart sensor system for the detection of abnormalities during daily activities, based on ultra-wideband radar providing rich, not privacy-sensitive, information useful for sensing both cardiorespiratory and body movements, regardless of ambient lighting conditions and physical obstructions (through-wall sensing). The radar sensing is a very promising technology, enabling the measurement of vital signs and body movements at a distance, and thus meeting both requirements of unobtrusiveness and accuracy. In particular, impulse-radio ultra-wideband radar has attracted considerable attention in recent years thanks to many properties that make it useful for assisted living purposes. The proposed sensing system, evaluated in meaningful assisted living scenarios by involving 30 participants, exhibited the ability to detect vital signs, to discriminate among dangerous situations and activities of daily living, and to accommodate individual physical characteristics and habits. The reported results show that vital signs can be detected also while carrying out daily activities or after a fall event (post-fall phase), with accuracy varying according to the level of movements, reaching up to 95% and 91% in detecting respiration and heart rates, respectively. Similarly, good results were achieved in fall detection by using the micro-motion signature and unsupervised learning, with sensitivity and specificity greater than 97% and 90%, respectively.

An Ambient Assisted Living for Smart Home to Wealthy Life: A Short Review

2013 ◽  
Vol 5 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Veeramuthu Venkatesh ◽  
V. Vaithayana ◽  
Pethuru Raj ◽  
Rengarajan Amirtharaj
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Short Review

Smart Home and Ambient Assisted Living Based on the Internet of Things

2017 ◽  
Vol 7 (3) ◽  
pp. 1480 ◽  
Author(s):  
H. Sayuti ◽  
R. A. Rashid ◽  
N. M. Abdul Latiff ◽  
M. R. Abdul Rahim ◽  
A. H. F. Abdul Hamid ◽  
...  
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Scheduling Algorithm ◽  
Ambient Assisted Living ◽  
The Internet ◽  
Test Bed ◽  
Zigbee Technology ◽  
3G Network ◽  
Two Phases ◽  
Cloud Network

This paper presents a Smart Home and Ambient Assisted Living (SHAAL) system that has been developed and tested in a real experimental home environment. SHAAL system is designed on wireless sensor network (WSN) linked to the cloud network on the Internet. The development of SHAAL is divided into two phases: the design of SHAAL network and the development of SHAAL applications. SHAAL network is made up of the home network which is the WSN, and the cloud network. The network is designed using TelG mote that operates under Zigbee technology and includes various sensor modules for SHAAL system. The cloud network consists of the gateway, the server and user devices running on third generation (3G) network. Using priority scheduling algorithm for data transmission, it is shown that the performance delay of this system on the test-bed experiment is 34.2 percent less compared to the theoretical study. The implementation of the experimental testbed has proven that SHAAL has been successfully designed and deployed in the real world.

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