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.

An Ambient Assisted Living platform for supporting aging in place of pre-frail and frail older adults: Rationale, HomeAssist plaform, quasi-experimental design, and baseline characteristics. (Preprint)

2021 ◽  
Author(s):  
helene sauzeon ◽  
Arlette Edjolo ◽  
Hélène Amieva ◽  
Charles Consel ◽  
Karine Pérès
Keyword(s):  
Older Adults ◽  
Assisted Living ◽  
Independent Living ◽  
Aging In Place ◽  
Ambient Assisted Living ◽  
Large Set ◽  
Everyday Functioning ◽  
Frail Older Adults ◽  
Outcomes Measures ◽  
Quasi Experimental

UNSTRUCTURED Background: Ambient Assisted Living (AAL) technology is expected as a promising way for prolonging the aging in place. Very few evidence-based results are provided support to its real value, notably for frail older adults who have high risk of autonomy loss and of entering in nursing home. Objective: HomeAssist (HA) is a human-centered AAL platform offering a large set of applications for three main age-related need domains (Activities of Daily Living, Safety and Social participation), relying on a basic set of entities (sensors, actuators...). The HA intervention involves monitoring as well as assistive services to support independent living at home. The primary outcomes measures are related to aging in place in terms of effectiveness (institutionalization and hospitalization rates) and efficiency (everyday functioning indices). Secondary outcomes measures include indices of frailty, cognitive functioning, and psychosocial health of participants and their caregivers. Every 6 months, user experience and attitudes towards HA are also collected in equipped participants. Concomitantly, HA usages are collected. Methods: A study assessing the HA efficacy has been designed and is now conducted with 131 older adults aged 81.9 (±6.0) years (from autonomous to frail) who lived alone. The study design is quasi-experimental with a duration of 12 months optionally extensible to 24 months. It includes equipped participants, matched with non-equipped participants (n= 474). Follow-up assessments occurred at 0, 12 and 24 months. Results: The expected results are to inform the AAL value for independent living, but also to yield informed analysis on AAL usages and adoption in frail older individuals.

On Dependability Issues in Ambient Intelligence Systems

2011 ◽  
Vol 3 (3) ◽  
pp. 18-27
Author(s):  
Marcello Cinque ◽  
Antonio Coronato ◽  
Alessandro Testa
Keyword(s):  
Assisted Living ◽  
Intelligent Systems ◽  
Ambient Intelligence ◽  
Ambient Assisted Living ◽  
Smart Environments ◽  
Practical Application ◽  
Smart Systems ◽  
Computing Paradigm ◽  
Ambient Intelligent ◽  
Verification Techniques

Ambient Intelligence (AmI) is the emerging computing paradigm used to build next-generation smart environments. It provides services in a flexible, transparent, and anticipative manner, requiring minimal skills for human-computer interaction. Recently, AmI is being adapted to build smart systems to guide human activities in critical domains, such as, healthcare, ambient assisted living, and disaster recovery. However, the practical application to such domains generally calls for stringent dependability requirements, since the failure of even a single component may cause dangerous loss or hazard to people and machineries. Despite these concerns, there is still little understanding on dependability issues in Ambient Intelligent systems and on possible solutions. This paper provides an analysis of the AmI literature dealing with dependability issues and to propose an innovative architectural solution to such issues, based on the use of runtime verification techniques.

Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajeesh Kumar N.V. ◽  
Arun M. ◽  
Baraneetharan E. ◽  
Stanly Jaya Prakash J. ◽  
Kanchana A. ◽  
...  
Keyword(s):  
New Technologies ◽  
Specific Treatment ◽  
Lung Damage ◽  
World Health ◽  
Smart Devices ◽  
The Internet ◽  
Content Type ◽  
The People ◽  
The World ◽  
The Impact

Purpose Many investigations are going on in monitoring, contact tracing, predicting and diagnosing the COVID-19 disease and many virologists are urgently seeking to create a vaccine as early as possible. Even though there is no specific treatment for the pandemic disease, the world is now struggling to control the spread by implementing the lockdown worldwide and giving awareness to the people to wear masks and use sanitizers. The new technologies, including the Internet of things (IoT), are gaining global attention towards the increasing technical support in health-care systems, particularly in predicting, detecting, preventing and monitoring of most of the infectious diseases. Similarly, it also helps in fighting against COVID-19 by monitoring, contract tracing and detecting the COVID-19 pandemic by connection with the IoT-based smart solutions. IoT is the interconnected Web of smart devices, sensors, actuators and data, which are collected in the raw form and transmitted through the internet. The purpose of this paper is to propose the concept to detect and monitor the asymptotic patients using IoT-based sensors. Design/methodology/approach In recent days, the surge of the COVID-19 contagion has infected all over the world and it has ruined our day-to-day life. The extraordinary eruption of this pandemic virus placed the World Health Organization (WHO) in a hazardous position. The impact of this contagious virus and scarcity among the people has forced the world to get into complete lockdown, as the number of laboratory-confirmed cases is increasing in millions all over the world as per the records of the government. Findings COVID-19 patients are either symptomatic or asymptotic. Symptomatic patients have symptoms such as fever, cough and difficulty in breathing. But patients are also asymptotic, which is very difficult to detect and monitor by isolating them. Originality/value Asymptotic patients are very hazardous because without knowing that they are infected, they might spread the infection to others, also asymptotic patients might be having very serious lung damage. So, earlier prediction and monitoring of asymptotic patients are mandatory to save their life and prevent them from spreading.

scholarly journals A conceptual framework for designing Ambient assisted living services for individuals with disabilities in Uganda and South Africa

2019 ◽  
Vol 8 ◽  
Author(s):  
Michael Kyazze ◽  
Janet Wesson ◽  
Kevin Naudé
Keyword(s):  
South Africa ◽  
Conceptual Framework ◽  
Assisted Living ◽  
New Technologies ◽  
Physical Disabilities ◽  
Ambient Assisted Living ◽  
Interaction Techniques ◽  
Individuals With Disabilities ◽  
Practical Guidelines ◽  
User Friendly

Background: Individuals with disabilities experience difficulty in using various everyday technologies such as computers and smartphones.Objectives: To propose a conceptual framework that will lead to the development of practical and user friendly assistive technology.Method: A literature review of challenges faced by individuals with physical disabilities was carried out. Interviews with adults with physical disabilities in Kampala, Uganda, and Port Elizabeth, South Africa, identified three main challenges with regard to using technology: using a mobile phone, controlling an electronic environment and using a computer.Results: The challenges identified can be solved by taking into consideration the needs of individuals with disabilities. However, the design of new technologies and interaction techniques, such as natural hand gestures and voice, as input mechanisms has able-bodied individuals in mind. Individuals with disabilities are considered as an afterthought. The main reason for this is that individuals with a disability are a minority and hence it may not make economic sense for technology innovators to cater for their unique needs. A lack of practical guidelines on how to design for individuals with disabilities is another reason why designing for individuals with disabilities is often an afterthought.Conclusion: This article proposes a conceptual framework that can be used by researchers and technology designers in order to design products that could cater for the unique needs of individuals with disabilities. The article also emphasises the importance of exploring alternative interaction techniques, as they could enable individuals with disabilities to fully utilise technologies such as smart phones, computers and smart home electronics.

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 Serious Motion-Based Exercise Games for Older Adults: Evaluation of Usability, Performance, and Pain Mitigation

10.2196/14182 ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. e14182
Author(s):  
Philipp Brauner ◽  
Martina Ziefle
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Assisted Living ◽  
Independent Living ◽  
Serious Games ◽  
Health Care Systems ◽  
Ambient Assisted Living ◽  
Well Being ◽  
Demographic Shift ◽  
Performance Effect

Background Many societies are facing demographic changes that challenge the viability of health and welfare systems. Serious games for health care and ambient assisted living (AAL) offer health benefits and support for older adults and may mitigate some of the negative effects of the demographic shift. Objective This study aimed to examine the acceptance of serious games to promote physical health in AAL environments. Since AAL environments are designed specifically to support independent living in older adults, we studied the relationship among age and user diversity, performance in the game, and overall usability and acceptance evaluation. Methods We developed a motion-based serious exercise game for prototypical AAL environments. In two evaluations, outside (n=71) and within (n=64) the AAL environment, we investigated the influence of age, gender, self-efficacy in interacting with technology, need for achievement on performance, effect of the game, usability evaluation of the game, and overall acceptance. Results Both games were evaluated as easy to use and fun to play. Both game interventions had a strong pain-mitigating effect in older adults (game 1: −55%, P=.002; game 2: −66%, P=.01). Conclusions Serious exercise games outside and inside AAL environments can contribute to individuals’ health and well-being and to the stability of health care systems.

scholarly journals Hardware for Recognition of Human Activities: A Review of Smart Home and AAL Related Technologies

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4227 ◽  
Author(s):  
Andres Sanchez-Comas ◽  
Kåre Synnes ◽  
Josef Hallberg
Keyword(s):  
Activity Recognition ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Fall Detection ◽  
Research Field ◽  
Health Security ◽  
Assistive Robots ◽  
Road Map ◽  
The People

Activity recognition (AR) from an applied perspective of ambient assisted living (AAL) and smart homes (SH) has become a subject of great interest. Promising a better quality of life, AR applied in contexts such as health, security, and energy consumption can lead to solutions capable of reaching even the people most in need. This study was strongly motivated because levels of development, deployment, and technology of AR solutions transferred to society and industry are based on software development, but also depend on the hardware devices used. The current paper identifies contributions to hardware uses for activity recognition through a scientific literature review in the Web of Science (WoS) database. This work found four dominant groups of technologies used for AR in SH and AAL—smartphones, wearables, video, and electronic components—and two emerging technologies: Wi-Fi and assistive robots. Many of these technologies overlap across many research works. Through bibliometric networks analysis, the present review identified some gaps and new potential combinations of technologies for advances in this emerging worldwide field and their uses. The review also relates the use of these six technologies in health conditions, health care, emotion recognition, occupancy, mobility, posture recognition, localization, fall detection, and generic activity recognition applications. The above can serve as a road map that allows readers to execute approachable projects and deploy applications in different socioeconomic contexts, and the possibility to establish networks with the community involved in this topic. This analysis shows that the research field in activity recognition accepts that specific goals cannot be achieved using one single hardware technology, but can be using joint solutions, this paper shows how such technology works in this regard.

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.

scholarly journals Social-aware Event Handling within the FallRisk Project

2017 ◽  
Vol 56 (01) ◽  
pp. 63-73 ◽  
Author(s):  
Jan Van den Bergh ◽  
Sven Coppers ◽  
Shirley Elprama ◽  
Jelle Nelis ◽  
Stijn Verstichel ◽  
...  
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Fall Detection ◽  
Smart Devices ◽  
Accurate Analysis ◽  
Fall Incident ◽  
Detection Systems ◽  
Event Handling ◽  
Current Guidelines ◽  
The Internet Of Things

SummaryObjectives: With the uprise of the Internet of Things, wearables and smartphones are moving to the foreground. Ambient Assisted Living solutions are, for example, created to facilitate ageing in place. One example of such systems are fall detection systems. Currently, there exists a wide variety of fall detection systems using different methodologies and technologies. However, these systems often do not take into account the fall handling process, which starts after a fall is identified or this process only consists of sending a notification. The FallRisk system delivers an accurate analysis of incidents occurring in the home of the older adults using several sensors and smart devices. Moreover, the input from these devices can be used to create a social-aware event handling process, which leads to assisting the older adult as soon as possible and in the best possible way.Methods: The FallRisk system consists of several components, located in different places. When an incident is identified by the FallRisk system, the event handling process will be followed to assess the fall incident and select the most appropriate caregiver, based on the input of the smartphones of the caregivers. In this process, availability and location are automatically taken into account.Results: The event handling process was evaluated during a decision tree workshop to verify if the current day practices reflect the requirements of all the stakeholders. Other knowledge, which is uncovered during this workshop can be taken into account to further improve the process.Conclusions: The FallRisk offers a way to detect fall incidents in an accurate way and uses context information to assign the incident to the most appropriate caregiver. This way, the consequences of the fall are minimized and help is at location as fast as possible. It could be concluded that the current guidelines on fall handling reflect the needs of the stakeholders. However, current technology evolutions, such as the uptake of wearables and smartphones, enables the improvement of these guidelines, such as the automatic ordering of the caregivers based on their location and availability.

Sign in / Sign up

Export Citation Format

Share Document