Designing calm and non-intrusive ambient assisted living system for monitoring nighttime wanderings

2017 ◽  
Vol 13 (2) ◽  
pp. 114-129 ◽  
Author(s):  
Robert Radziszewski ◽  
Hubert Kenfack Ngankam ◽  
Vincent Grégoire ◽  
Dominique Lorrain ◽  
Hélène Pigot ◽  
...  
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Living System ◽  
Physiological Data ◽  
Second Phase ◽  
Content Type ◽  
Heterogeneous Technologies ◽  
Two Phases

Purpose Assistive living technologies provide support for specific activities, transforming a home into a smart home. The purpose of this paper is to present how to design, implement, deploy and install a personalized ambient support system for the elderly suffering from Alzheimer’s disease (AD) and nighttime wandering. Design/methodology/approach The intervention presented in this paper proceeds in two phases. During the monitoring phase, the system determines the profile of the person with AD, based on nighttime routines. Data are gathered from sensors dispatched in the smart home, coupled with physiological data obtained from sensors worn by the person. Data are then classified to determine engine rules that will provide assistance to the resident to satisfy their needs. During the second phase, smart assistance is provided to the person via environmental cues by triggering rules based on the person’s habits and the activities occurring during night. Findings The paper develops the architecture of a non-intrusive system that integrates heterogeneous technologies to provide a calm environment during night and limit wandering periods. Practical implications The goal is to help people age well at home as long as possible and recover a regular circadian cycle while providing more comfort to the caregiver. Originality/value The system presented in this paper offers a calm and personalized environment with music and visual icons to soothe persons with AD and encourage them to go back to bed. It is installed at the patient’s home using wireless technologies.

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.

Decision-making framework for using ambient assisted living

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Majid H. Alsulami ◽  
Mohammed S. Alsaqer ◽  
Anthony S. Atkins
Keyword(s):  
Decision Making ◽  
Saudi Arabia ◽  
Health Care Providers ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Care Providers ◽  
Content Type ◽  
Decision Making Framework

Purpose Technology plays an important role in assisting elderly people to live independently, longer and improve their quality of life and health, in supporting their daily activities, etc. The ageing population becomes a global phenomenon. The population of Saudi Arabia continues to age (>60 years of age) currently (5%) compared to other group ages. In 2050, it will increase rapidly to 20.9% of the Saudi population. The current research aims at examining the barriers that health-care providers in the Kingdom of Saudi Arabia are experiencing in the adoption of ambient assisted living (AAL) technologies among the elderly. The study aims to identify a challenging issue with the increasing the number of elderly among the population in the country, which has highlighted the need to use AAL technology to improve the quality of life among the elderly. Design/methodology/approach This study involved a community of practice (CoP) study as a method of data collection where data collected were presented and discussed in line with the existing literature review findings. Findings In total, 14 factors were identified in this study and discussed in the context of Saudi Arabia, which resulted in developing a decision-making framework for using AAL by health-care providers. Those factors are essential in boosting the usage of technology in improving elderly health in Saudi Arabia. Research limitations/implications This study includes implications for developing a decision-making framework for using AAL. Social implications This study clarifies that technology can connect elderly people with society. Originality/value In total, 14 factors were identified in this study and discussed in the context of Saudi Arabia.

Fusion of Multiple Sensors Sources in a Smart Home to Detect Scenarios of Activities in Ambient Assisted Living

2012 ◽  
Vol 3 (3) ◽  
pp. 29-44 ◽  
Author(s):  
Norbert Noury ◽  
Pierre Barralon ◽  
Nicolas Vuillerme ◽  
Anthony Fleury
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Multiple Sensors ◽  
Multiple Data ◽  
Level Of Activity ◽  
Sound Detection ◽  
The Cost ◽  
Selection Of

This work takes place within the framework of Smart Homes, with the goal to monitor the activities of elderly people, living independently at home, in order to continuously assess their level of activity and therefore their autonomy. A method is proposed for the selection of a range of sensors and for multiple data fusion. The system was evaluated on 7 young and 4 elderly healthy subjects who performed scenarios of daily activities (sleeping, eating, walking, and transfer) within a controlled environment. These activities were correctly classified with an overall sensitivity and specificity of 67.0% (out of 267 activities) and 52.6% (502) for the group of young people, and of 86.9% (222) and 59.3% (492) for the elderly group. The results were better with activities commonly performed in a dedicated location (i.e., taking meals in the kitchen, toileting in the bathroom). The results are acceptable with a reduced set of sensors although numerous and/or more informative sensors (i.e., video, sound detection, sensitive floors, etc.) give higher results at the cost of more cumbersome and costly systems, difficult to deploy in a private home and eventually more intrusive.

scholarly journals M2M Communication in Virtual Sensor Network for SHAAL

2013 ◽  
Vol 65 (1) ◽  
Author(s):  
Zubair Khalid ◽  
N. Fisal ◽  
Rahat Ullah ◽  
Hashim Safdar ◽  
Wajahat Maqbool ◽  
...  
Keyword(s):  
Sensor Network ◽  
Assisted Living ◽  
Smart Home ◽  
Network Virtualization ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Service Provisioning ◽  
New Paradigm ◽  
Virtual Sensor ◽  
M2m Communication

Machine-to-Machine (M2M) communication has led to a new paradigm of Internet of Things (IoT). The future of M2M communication in smart home lies in the aggregation and allocation of resources and service provisioning of diverse applications using different radio technologies. M2M communication may operate on the virtual sensor network to provide independent applications running on heterogeneous network simultaneously. M2M is going to play a major role in the area of Smart Home and Ambient Assisted Living (SHAAL) providing  assistance to the elderly people with smart sensors that monitor the home environment and provides aid health monitoring to human requiring medical assistance. The current state of the art frameworks are dedicated to specific applications with the support of single radio network with limited service provisioning options. However, in order to fully exploit the resources in this paper we present a service provisioning framework realization of M2M in virtual sensor network for SHAAL, which allows independent parties to work together in a secure and reliable manner. In addition to this, the framework is designed to include benefits of Service Oriented Architecture (SOA) and Resource Oriented Architecture (ROA) along with the use of different low power, low data rate protocols. A middleware is used as a platform to link the underlying virtual networks with various applications. The network virtualization approach is adopted to design an efficient middleware framework that can effectively discover and manage the underlying network resources and provide services at home gateway. The framework will be used as the basis for the development of the SHAAL networked system. 

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

LinkedIn and recruitment: how profiles differ across occupations

2014 ◽  
Vol 36 (5) ◽  
pp. 583-604 ◽  
Author(s):  
Julie Zide ◽  
Ben Elman ◽  
Comila Shahani-Denning
Keyword(s):  
New York ◽  
Social Networking Sites ◽  
Personal Information ◽  
Phase 1 ◽  
Small Sample ◽  
Research Approach ◽  
Second Phase ◽  
Content Type ◽  
Two Phases ◽  
Group Member

Purpose – The purpose of this paper is to identify the elements of a LinkedIn profile that hiring professionals focus on most, and then examine LinkedIn profiles in terms of these identified elements across different industries. Design/methodology/approach – The methodology was comprised of two phases. In the first phase, researchers interviewed hiring professionals to determine their usage of LinkedIn. In the second phase, LinkedIn group member profiles from three industries – HR, sales/marketing and industrial/organizational (I/O) psychology – were compared on the 21 variables identified in Phase 1 (n=288). Findings – χ2 and ANOVA tests showed significant differences with respect to ten of the LinkedIn variables in how people presented themselves across the three groups. There were also several gender differences found. Research limitations/implications – A general limitation was the use of a qualitative research approach. A limitation of Phase 1 was that only a small sample of New York City-based hiring professionals was interviewed. Perhaps a wider, more diverse sample would have yielded different variables. In terms of Phase 2, it is possible that just utilizing the second connections of the researchers limited the generalizability of findings. Practical implications – User unwillingness to fully complete the LinkedIn profile suggests that it may not have replaced the traditional resume yet. Sales/marketing professionals were more likely than HR and I/O psychology professionals to complete multiple aspects of a LinkedIn profile. Women were also less likely than men to provide personal information on their profiles. Originality/value – Most of the empirical research on social networking sites has focussed on Facebook, a non-professional site. This is, from the knowledge, the first study that systematically examined the manner in which people present themselves on LinkedIn – the most popular professional site used by applicants and recruiters worldwide.

scholarly journals Development of a concept-based EMG-based speller

DYNA ◽  
2015 ◽  
Vol 82 (193) ◽  
pp. 170-179 ◽  
Author(s):  
Robertas Damaševičius ◽  
Mindaugas Vasiljevas ◽  
Tomas Šumskas
Keyword(s):  
Assisted Living ◽  
Information Transfer ◽  
Ambient Assisted Living ◽  
Muscular Activity ◽  
Computer Interface ◽  
Physiological Data ◽  
Visual Concept ◽  
Computing Systems ◽  
Direct Communication ◽  
Communication Pathway

Physiological computing is a paradigm of computing that treats users’ physiological data as input during computing tasks in an Ambient Assisted Living (AAL) environment. By monitoring, analyzing and responding to such inputs, Physiological Computing Systems (PCS) are able to respond to the users’ cognitive, emotional and physical states. A specific case of PCS is Neural Computer Interface (NCI), which uses electrical signals governing users’ muscular activity (EMG data) to establish a direct communication pathway between the user and a computer. We present taxonomy of speller application parameters, propose a model of PCS, and describe the development of the EMG-based speller as a benchmark application. We analyze and develop an EMG-based speller application with a traditional letter-based as well as visual concept-based interface. Finally, we evaluate the performance and usability of the developed speller using empirical (accuracy, information transfer speed, input speed) metrics.

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.  

Designing a Compact Wireless Network Based Device-Free Passive Localisation System for Indoor Environments

2018 ◽  
pp. 1424-1439
Author(s):  
Philip Vance ◽  
Girijesh Prasad ◽  
Jim Harkin ◽  
Kevin Curran
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Design Procedure ◽  
The Elderly ◽  
Healthcare Services ◽  
Indoor Environments ◽  
Signal Processing Technique ◽  
Minimum Number ◽  
The Individual ◽  
Device Free

Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and ambient assisted living for the elderly. Healthcare services globally are seeking to allow people to stay in their familiar home environments longer due to the multitude of benefits associated with living in non-clinical environments and technologies to determine an individual's movements are key to ensuring that home emergencies are detected through lack of movement can be responded to promptly. This paper proposes a device-free localisation (DFL) system which would enable the individual to proceed with normal daily activities without the concern of having to wear a traceable device. The principle behind this is that the human body absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The proposed system design procedure facilitates the use of a minimum number of wireless nodes with the help of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolution with a minimal hardware infrastructure.

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