The Living Usability Lab Architecture: Support for the Development and Evaluation of New Ambient Assisted Living Services for the Elderly

2015 ◽  
pp. 477-508
Author(s):  
António Teixeira ◽  
Nelson Rocha ◽  
Carlos Pereira ◽  
Joaquim Pinto ◽  
Miguel Dias ◽  
...  
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
The Elderly

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.

scholarly journals Ambient Assisted Living: A Research on Human Activity Recognition and Vital Health Sign Monitoring using Deep Learning Approaches

2019 ◽  
Vol 8 (6S4) ◽  
pp. 531-540
Keyword(s):  
Deep Learning ◽  
Activity Recognition ◽  
Human Activity ◽  
Assisted Living ◽  
Independent Living ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Human Activity Recognition ◽  
Living Environment ◽  
Learning Approaches

The rise in life expectancy rate and dwindled birth rate in new age society has led to the phenomenon of population ageing which is being witnessed across the world from past few decades. India is also a part of this demographic transition which will have the direct impact on the societal and economic conditions of the country. In order to effectively deal with the prevailing phenomenon, stakeholders involved are coming up with the Information and Communication Technology (ICT) based ecosystem to address the needs of elderly people such as independent living, activity recognition, vital health sign monitoring, prevention from social isolation etc. Ambient Assisted Living (AAL) is one such ecosystem which is capable of providing safe and secured living environment for the elderly and disabled people. In this paper we will focus on reviewing the sensor based Human Activity Recognition (HAR) and Vital Health Sign Monitoring (VHSM) which is applicable for AAL environments. At first we generally describe the AAL environment. Next we present brief insights into sensor modalities and different deep learning architectures. Later, we survey the existing literature for HAR and VHSM based on sensor modality and deep learning approach used.

scholarly journals IndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processing

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6051
Author(s):  
Daniel Fuentes ◽  
Luís Correia ◽  
Nuno Costa ◽  
Arsénio Reis ◽  
José Ribeiro ◽  
...  
Keyword(s):  
Low Income ◽  
Assisted Living ◽  
Rural Areas ◽  
Low Cost ◽  
Elderly Care ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Case Scenario ◽  
Care Services ◽  
Socially Excluded

The Portuguese population is aging at an increasing rate, which introduces new problems, particularly in rural areas, where the population is small and widely spread throughout the territory. These people, mostly elderly, have low income and are often isolated and socially excluded. This work researches and proposes an affordable Ambient Assisted Living (AAL)-based solution to monitor the activities of elderly individuals, inside their homes, in a pervasive and non-intrusive way, while preserving their privacy. The solution uses a set of low-cost IoT sensor devices, computer vision algorithms and reasoning rules, to acquire data and recognize the activities performed by a subject inside a home. A conceptual architecture and a functional prototype were developed, the prototype being successfully tested in an environment similar to a real case scenario. The system and the underlying concept can be used as a building block for remote and distributed elderly care services, in which the elderly live autonomously in their homes, but have the attention of a caregiver when needed.

Virtual Carer

2019 ◽  
pp. 709-719
Author(s):  
Aldo Franco Dragoni
Keyword(s):  
Assisted Living ◽  
Social Inclusion ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Progressive Increase ◽  
Interactive Communication ◽  
Domestic Spaces ◽  
Phone Calls ◽  
Comprehensive Information ◽  
The Family

In view of the rapidly progressive increase in the average population age, “Ambient Assisted Living” (AAL) defines the actions and policies needed to promote the improvement of living conditions within domestic spaces to foster autonomy, safety, and social inclusion for the elderly or disabled. The idea is to design an innovative and comprehensive information system for AAL, an ICT-based “Virtual Caregiver,” which is informed, intelligent and friendly, and which constantly monitors the health warning, informing and advising the elderly while controlling the environment and then asking for help when needed. The system will have the ability to establish interactive communication with the person but also extend it automatically outside the house in times of need. Virtual Caregiver will be able to enable the software protocols that activate the emergency phone calls to the family, medics or even first aid in emergencies.

Reviewing Home Based Assistive Technologies

2015 ◽  
pp. 317-334 ◽  
Author(s):  
Panagiotis D. Bamidis ◽  
Evdokimos Konstantinidis ◽  
Antonis S. Billis ◽  
Anastasios Sioundas
Keyword(s):  
Case Studies ◽  
Elderly People ◽  
Assisted Living ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Population Ageing ◽  
Assistive Technologies ◽  
European Level ◽  
Home Based

Population ageing is an unprecedented challenge for human societies, which recently is globally tackled by new technologies. In this chapter technologies tailored for use by the elderly people termed ambient assisted living and e-health are discussed. Focus is only placed on those technologies that can be adapted for home use. Emphasis is drawn both on the technical front as well as on the application front based on recent literature. The scope is to make sure the audience reaches a sufficiently broad understanding of what technology is available for home use by elderly people. Applications and research efforts spent but also funded at the European level with a clear focus on those supported by elderly trials are provided. The chapter is enriched with case studies from various projects.

Decision Support in the Elderly Healthcare

2015 ◽  
pp. 175-195
Author(s):  
Antonis S. Billis ◽  
Christos A. Frantzidis ◽  
Panagiotis D. Bamidis
Keyword(s):  
Health Monitoring ◽  
Assisted Living ◽  
Information Needs ◽  
Contextual Information ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Open Questions ◽  
Long Run ◽  
Long Term Trends ◽  
Emergency Detection

Ambient assisted living environments comprise of “smart” components that play the role of a “guardian angel” for the seniors. Health monitoring algorithms have been widely presented in the literature, however in most of the cases, they examine contextual information and the production of alerts in case of an emergency. This short-term information, needs to be combined also with respective analysis in the long run. Integrating both types of temporal information regarding the health status of seniors, one can safeguard that both emergency detection and early diagnosis of health deterioration would lead to increase feelings of safety and quality of life to baby boomers. This chapter aims at presenting the open questions regarding health monitoring in AAL environments and proposes an approach that combines both contextual and long-term trends to characterize overall health.

Towards Long-Term Deployment of a Mobile Robot for at-Home Ambient Assisted Living of the Elderly

2019 ◽  
Author(s):  
Matteo Luperto ◽  
Javier Monroy ◽  
J. Raul Ruiz-Sarmiento ◽  
Francisco-Angel Moreno ◽  
Nicola Basilico ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
At Home

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.

scholarly journals An Evaluation of Graphical Formats for the Summary of Activities of Daily Living (ADLs)

Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 194
Author(s):  
Caroline A. Byrne ◽  
Michael O’Grady ◽  
Rem Collier ◽  
Gregory M. P. O’Hare
Keyword(s):  
Activities Of Daily Living ◽  
Assisted Living ◽  
Daily Living ◽  
Line Graph ◽  
Ambient Assisted Living ◽  
User Interaction ◽  
The Elderly ◽  
Design Principles ◽  
Daily Routine ◽  
Daily Monitoring

Activities of Daily Living systems (ADLs) and the User Interface (UI) design principles used to implement them empowers the elderly to continue living a normal daily routine. The daily monitoring of activities for most Assisted Living (AL) systems demands/necessitates accurate daily user interaction, and the design principles for these systems often focus on the UI usability for the elder, not the caregiver/family member. This paper reviews Ambient Assisted Living (AAL) and ADLs UI designs and evaluates the usability of ADLs visualisation tools for caregivers. Results indicate that the UI presenting information in a bar graph format was the preferred option for respondents, as 60% chose this summarisation method over the alternative line graph UI, which had 38% of respondents selecting this format for information representation. Therefore, when designing Ambient Assisted Living (AAL) UIs, it is recommended that short periods of time are best presented in a pie graph format in combination with a bar graph format for representing extended timeline information to caregivers about their loved ones.

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