Living in, with and beyond the ‘smart home’: Introduction to the special issue

Lupton, Deborah; Pink, Sarah; Horst, Heather A.

doi:10.1177/13548565211052736

Cited by 16 publications

(5 citation statements)

References 28 publications

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“…Health-monitoring smart homes are becoming more and more popular, with some experts arguing that 9-to-5 health care service delivery might soon become a thing of the past [1][2][3]. Smart homes include digital sensing technologies and communication devices that can seamlessly and intelligently communicate with one another and with the outside world via the internet and mobile networks [1,4]. Examples of smart home devices include ambient devices, cameras, wearable sensors, fall prediction systems, fall detection medical alert systems [5,6], smart fridges, smart vacuum cleaners, smart washing machines, smart dryers, smart doorbells, smart toothbrushes, and smart home gym equipment [4,7,8].…”

Section: Rationalementioning

confidence: 99%

“…Examples of smart home devices include ambient devices, cameras, wearable sensors, fall prediction systems, fall detection medical alert systems [5,6], smart fridges, smart vacuum cleaners, smart washing machines, smart dryers, smart doorbells, smart toothbrushes, and smart home gym equipment [4,7,8]. The "smartness" of these devices and systems used in smart homes relates to their automated functions, such as context awareness, voice activation, event detection, activity monitoring, and data-driven artificial intelligence processing features that can adapt to the conditions of the homes and lifestyles of the home occupant [4]. A key measure of a "good" smart home is the extent to which it improves the security, safety, comfort, health, and well-being of the user and how unobtrusively it achieves it [9][10][11][12].…”

Section: Rationalementioning

confidence: 99%

“…Smart homes include digital sensing technologies and communication devices that can seamlessly and intelligently communicate with one another and with the outside world via the internet and mobile networks [ 1 , 4 ]. Examples of smart home devices include ambient devices, cameras, wearable sensors, fall prediction systems, fall detection medical alert systems [ 5 , 6 ], smart fridges, smart vacuum cleaners, smart washing machines, smart dryers, smart doorbells, smart toothbrushes, and smart home gym equipment [ 4 , 7 , 8 ]. The “smartness” of these devices and systems used in smart homes relates to their automated functions, such as context awareness, voice activation, event detection, activity monitoring, and data-driven artificial intelligence processing features that can adapt to the conditions of the homes and lifestyles of the home occupant [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

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Using Smart Home Technologies to Promote Physical Activity Among the General and Aging Populations: Scoping Review

Oyibo¹,

Wang²,

Morita³

2023

J Med Internet Res

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Background Health-monitoring smart homes are becoming popular, with experts arguing that 9-to-5 health care services might soon become a thing of the past. However, no review has explored the landscape of smart home technologies that aim to promote physical activity and independent living among a wide range of age groups. Objective This review aims to map published studies on smart home technologies aimed at promoting physical activity among the general and aging populations to unveil the state of the art, its potential, and the research gaps and opportunities. Methods Articles were retrieved from 6 databases (PubMed, CINAHL, Scopus, IEEE Xplore, ACM Library, and Web of Science). The criteria for inclusion were that the articles must be user studies that dealt with smart home or Active Assisted Living technologies and physical activity, were written in English, and were published in peer-reviewed journals. In total, 3 researchers independently and collaboratively assessed the eligibility of the retrieved articles and elicited the relevant data and findings using tables and charts. Results This review synthesized 20 articles that met the inclusion criteria, 70% (14/20) of which were conducted between 2018 and 2020. Three-quarters of the studies (15/20, 75%) were conducted in Western countries, with the United States accounting for 25% (5/20). Activities of daily living were the most studied (9/20, 45%), followed by physical activity (6/20, 30%), therapeutic exercise (4/20, 20%), and bodyweight exercise (1/20, 5%). K-nearest neighbor and naïve Bayes classifier were the most used machine learning algorithms for activity recognition, with at least 10% (2/20) of the studies using either algorithm. Ambient and wearable technologies were equally studied (8/20, 40% each), followed by robots (3/20, 15%). Activity recognition was the most common goal of the evaluated smart home technologies, with 55% (11/20) of the studies reporting it, followed by activity monitoring (7/20, 35%). Most studies (8/20, 40%) were conducted in a laboratory setting. Moreover, 25% (5/20) and 10% (2/20) were conducted in a home and hospital setting, respectively. Finally, 75% (15/20) had a positive outcome, 15% (3/20) had a mixed outcome, and 10% (2/20) had an indeterminate outcome. Conclusions Our results suggest that smart home technologies, especially digital personal assistants, coaches, and robots, are effective in promoting physical activity among the young population. Although only few studies were identified among the older population, smart home technologies hold bright prospects in assisting and aiding older people to age in place and function independently, especially in Western countries, where there are shortages of long-term care workers. Hence, there is a need to do more work (eg, cross-cultural studies and randomized controlled trials) among the growing aging population on the effectiveness and acceptance of smart home technologies that aim to promote physical activity.

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Section: Rationalementioning

confidence: 99%

Section: Rationalementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using Smart Home Technologies to Promote Physical Activity Among the General and Aging Populations: Scoping Review

Oyibo¹,

Wang²,

Morita³

2023

J Med Internet Res

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“…A smart home is also labelled as "connected homes", "Home Automation", or "Intelligent home" [4]. The smart devices or systems installed or used in the home function using artificial intelligence (AI), adapts and assists according to the individual home/personal needs or lifestyles [5].…”

Section: Introductionmentioning

confidence: 99%

Detection of DDoS Attack on Smart Home Infrastructure Using Artificial Intelligence Models

Raja

Ezziane

et al. 2022

2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)

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The whole web world is concerned and constantly threatened by security intrusion. From the topmost corporate companies to the recently established start-ups, every company focuses on their network, system, and information security as it is the core of any company. Even a simple small security breach can cause a considerable loss to the company and compromises the CIA Triad (Confidentiality, Integrity, and Availability). Security concerns and hacking activities such as Distributed Denial of Service (DDoS) attacks are also experienced within home networks which could be saturated reaching a crashing point. This work focuses on using Artificial Intelligence (AI) and identifying suitable models to train, identify, and detect DDoS attacks. In addition, it aims to implement on smart home datasets and find the best model from those which performs with a high accuracy rate on the smart home dataset. The novelty of this project is identifying one best AI model among many of the existing models that works best on smart home datasets and in identifying and detecting DDoS attacks.

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“…Smart technologies often use sensors, monitors, processors and visual aids or cameras to gather vast quantities of data that are re-laid to a digital platform for use. [1] The aim of such technologies is to optimise service provision, provide proactive support, promote more sustainable behaviour and ultimately, to provide more efficient and effective products and services. Indeed, in many instances, smart technologies provide better products and services than traditional ones.A related concept is that of a 'smart city' .…”

mentioning

confidence: 99%

Bridging the regulatory gaps created by Smart and Connected technologies in South Africa

Botes,

Townsend

2023

S Afr J Bioethics Law

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The prevalence of technology-embedded products, services, and cities, described colloquially as ‘smart’ technologies and ‘smart’ cities, has seen a spate of unprecedented growth in recent years. South Africa (SA) has not been left behind, with smartphones, smart watches, and smart voice-controlled virtual personal assistants such as Amazon’s Alexa now frequently used. But while these technologies hold great promise to revolutionise homes, offices and cities, their adoption poses challenges to individual and collective interests and wellbeing. After demonstrating the legal and ethical difficulties brought about by the introduction of these technologies, this article explores whether SA legislation is sufficiently robust to address these challenges. While the current legislative landscape addresses certain crucial difficulties – such as the safeguarding of personal data by the Protection of Personal Information Act No. 4 of 2013 (‘POPIA’) – it is suggested that the position regulating other aspects of smart technology adoption is, in large part, fragmented and ill-equipped to deal with some of the more pressing legal and ethical questions. Our contention is that, not dissimilar to the issues arising from artificial intelligence-based technological adoption, the extant legislative and regulatory frameworks do not go far enough in addressing the many concerns emerging from recent novel technological design, development, and deployment. Not only do smart technologies give rise to unique challenges, so does their deployment within the Global South and in South Africa, in particular. We suggest that appropriate and effective regulatory reform measures be undertaken in SA to provide better ethical guidance and policy prescriptions buttressed by rigorous regulatory oversight.

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Living in, with and beyond the ‘smart home’: Introduction to the special issue

Cited by 16 publications

References 28 publications

Using Smart Home Technologies to Promote Physical Activity Among the General and Aging Populations: Scoping Review

Using Smart Home Technologies to Promote Physical Activity Among the General and Aging Populations: Scoping Review

Detection of DDoS Attack on Smart Home Infrastructure Using Artificial Intelligence Models

Bridging the regulatory gaps created by Smart and Connected technologies in South Africa

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