Internet of Things for Ambient-Assisted Living—An Overview

Vijayalakshmi, A.; Jose, Deepa V.

doi:10.1007/978-3-030-37526-3_10

Cited by 3 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the fields that IoT technologies and connected devices can greatly improve and support is active assisted living (AAL) [ 16 ], defined as “all technology, devices, and wearables connected to the Internet, that enable the collection and exchange of data, and are used for health monitoring or to enhance the daily life of individuals” [ 17 ]. The major goal of AAL technology is to help people with activities of daily living, leading them to a better, safer, and more productive life while minimizing the risk of injury and avoidable death [ 1 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

“…Although IoT devices allow continuous and zero-effort monitoring of health data, they also increase the complexity of data collection points and make it harder to determine exactly what, why, and how data are being collected. This is especially troublesome when we consider the context of AAL technologies: older adults are a vulnerable population that traditionally do not have advanced technological knowledge [ 16 , 23 , 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Blockchain-Based Consent Platform for Active Assisted Living: Modeling Study and Conceptual Framework

Velmovitsky¹,

Miranda²,

Vaillancourt³

et al. 2020

J Med Internet Res

View full text Add to dashboard Cite

Background Recent advancements in active assisted living (AAL) technologies allow older adults to age well in place. However, sensing technologies increase the complexity of data collection points, making it difficult for users to consent to data collection. One possible solution for improving transparency in the consent management process is the use of blockchain, an immutable and timestamped ledger. Objective This study aims to provide a conceptual framework based on technology aimed at mitigating trust issues in the consent management process. Methods The consent management process was modeled using established methodologies to obtain a mapping of trust issues. This mapping was then used to develop a conceptual framework based on previous monitoring and surveillance architectures for connected devices. Results In this paper, we present a model that maps trust issues in the informed consent process; a conceptual framework capable of providing all the necessary underlining technologies, components, and functionalities required to develop applications capable of managing the process of informed consent for AAL, powered by blockchain technology to ensure transparency; and a diagram showing an instantiation of the framework with entities comprising the participants in the blockchain network, suggesting possible technologies that can be used. Conclusions Our conceptual framework provides all the components and technologies that are required to enhance the informed consent process. Blockchain technology can help overcome several privacy challenges and mitigate trust issues that are currently present in the consent management process of data collection involving AAL technologies.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Blockchain-Based Consent Platform for Active Assisted Living: Modeling Study and Conceptual Framework

Velmovitsky¹,

Miranda²,

Vaillancourt³

et al. 2020

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…While demographic change and the industry structure will likely exacerbate the labor shortage among healthcare workers in the nursing home and senior living market further, the use of technology will certainly gain in relevance. Even before the pandemic, industry pioneers pointed out the potential for an increased use of monitoring applications and smart devices, both in nursing facilities and the outpatient senior living market [80][81][82]. In the future, such technology will not just provide supplementary assistance to facilitate recruitment and training of healthcare workers, but actually support clinical monitoring and decision making.…”

Section: The Potential For Internet-of-things (Iot) Monitoring Solutionsmentioning

confidence: 99%

How the COVID-19 Pandemic Will Change Workplaces, Healthcare Markets and Healthy Living: An Overview and Assessment

et al. 2021

View full text Add to dashboard Cite

The COVID-19 pandemic has disrupted most aspects of our lives: how we work, how we socialize, how we provide health care, and how we take care of our most vulnerable members of society. In this perspectives article, we provide a multidisciplinary overview of existing research covering these fields. Moreover, we enrich this research overview with news reporting and insights from a panel of expert practitioners affiliated with the Cornell Institute for Healthy Futures. We sketch existing evidence, focusing on how the pandemic has transformed our lives since March 2020. Then, for each of the fields covered by this article, we propose optimistic perspectives on what healthy living could look like in the future, given the current challenges and opportunities. In particular, we discuss the needed transformations of our workplaces, the health care market, senior living, healthy eating, and personal wellness.

show abstract

tinyCare: A tinyML-based Low-Cost Continuous Blood Pressure Estimation on the Extreme Edge

Ahmed

Hassan

2022

2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)

View full text Add to dashboard Cite

Internet of Things for Ambient-Assisted Living—An Overview

Cited by 3 publications

References 22 publications

A Blockchain-Based Consent Platform for Active Assisted Living: Modeling Study and Conceptual Framework

A Blockchain-Based Consent Platform for Active Assisted Living: Modeling Study and Conceptual Framework

How the COVID-19 Pandemic Will Change Workplaces, Healthcare Markets and Healthy Living: An Overview and Assessment

tinyCare: A tinyML-based Low-Cost Continuous Blood Pressure Estimation on the Extreme Edge

Contact Info

Product

Resources

About