Future changes to smart home based on AAL healthcare service

Choi, Donghyeog; Choi, Hyun‐Chul; Shon, Donghwa

doi:10.1080/13467581.2019.1617718

Cited by 38 publications

(21 citation statements)

References 10 publications

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“…More commonly, a smart home has many standalone appliances with a convenient way to automatically identify, monitor and control an appliance to perform various operations such as change its on/off status [5]. This is normally possible due to seamless integration of technologies via the Internet and the advancements in Internet of Things (IoT) [6,7].…”

Section: Introductionmentioning

confidence: 99%

Big Data and Personalisation for Non-Intrusive Smart Home Automation

Asaithambi

Venkatraman²,

Venkatraman

2021

BDCC

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With the advent of the Internet of Things (IoT), many different smart home technologies are commercially available. However, the adoption of such technologies is slow as many of them are not cost-effective and focus on specific functions such as energy efficiency. Recently, IoT devices and sensors have been designed to enhance the quality of personal life by having the capability to generate continuous data streams that can be used to monitor and make inferences by the user. While smart home devices connect to the home Wi-Fi network, there are still compatibility issues between devices from different manufacturers. Smart devices get even smarter when they can communicate with and control each other. The information collected by one device can be shared with others for achieving an enhanced automation of their operations. This paper proposes a non-intrusive approach of integrating and collecting data from open standard IoT devices for personalised smart home automation using big data analytics and machine learning. We demonstrate the implementation of our proposed novel technology instantiation approach for achieving non-intrusive IoT based big data analytics with a use case of a smart home environment. We employ open-source frameworks such as Apache Spark, Apache NiFi and FB-Prophet along with popular vendor tech-stacks such as Azure and DataBricks.

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Section: Introductionmentioning

confidence: 99%

Big Data and Personalisation for Non-Intrusive Smart Home Automation

Asaithambi

Venkatraman²,

Venkatraman

2021

BDCC

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“…This article has already received 70 citations in three years. There are also several journal publications in prominent impact factor journals [137][138][139]141,[145][146][147][148][149][150] that confirm these findings; the most important one is "Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges" by Ahmed et al 2016 [145] published in the IEEE Wireless Communications journal with IF = 11, which is indexed second or fourth in all four web of science categories. This article has already received 70 citations in three years.…”

Section: Future Challengesmentioning

confidence: 78%

“…From the literature review, it is possible to observe a significant move from using technologies such as Smart Home solutions, systems, technology and Elderly with health-related keywords through the extensive use of sensors, assistive technologies, monitoring of daily activities until now, where a clear phenomenon of IoT [137][138][139][140][141] and activity recognition with ambient assisted living (AAL) [2,137,142,143] and quality of life (QoL) [3,144] can be seen (Figure 7). There are also several journal publications in prominent impact factor journals [137][138][139]141,[145][146][147][148][149][150]] that confirm these findings; the most important one is "Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges" by Ahmed et al 2016 [145] published in the IEEE Wireless Communications journal with IF = 11, which is indexed second or fourth in all four web of science categories. This article has already received 70 citations in three years.…”

Section: Future Challengesmentioning

confidence: 80%

Commercial ICT Smart Solutions for the Elderly: State of the Art and Future Challenges in the Smart Furniture Sector

et al. 2020

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Within a ubiquitous environment, home and office furniture can be maximally utilized to provide ease, especially if the items are designed based on smart technology. For this reason, the acceptance of smart furniture has soared over the years. Given the vast influence of the Internet of Things (IoT) and Industry 4.0 on technological advancement in furniture design, it is imperative to examine information and communication technology (ICT) solutions for the elderly in the context of smart furniture design and implementation. This article presents a review of the state-of-the-art literature in smart solutions for the elderly based on publications under ICT smart solutions for these elderly, along with smart furniture options and manufacturer activities in terms of fixing market prices for these furniture materials. Furthermore, patenting rights on some existing smart furniture designs for the elderly, given the current trends in worldwide acceptance, are examined. Moreover, this article also highlights opportunities introduced by IoT-based solutions for the elderly as current trends in research and their effects on human life. Some smart product examples from different enterprises are also presented. New, innovative and active designs must be developed, focusing upon human healthcare, and in turn providing greater comfort and convenience for elderly people. To fulfil these requirements, the also selected technical aspects of new Smart Furniture solutions in connection to the cost of these solutions are discussed. Simultaneously, Smart Furniture solutions need to be flexible, low-cost, easy to buy and install without expert knowledge, and widely available on the market.

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“…AAL JP (Joint Programme) research and projects (Table 3), which began in 2007 focused on EU countries (23 countries) with the aim of improving the independence and general quality of life in the communities and homes of the socially disadvantaged, to aid their greater participation in society. Many programme such as UniversALL, CARE, SmartSenior, and Diamond's House are now in progress (Belbachir, Drobics, and Marschitz 2010) and related healthcare items are being developed rapidly and vast in extent (Choi, Choi, and Shon 2019). The same is now true in countries other than Europe such as Japan and Singapore (Choi, Hwang, and Bae 2016, Table 3).…”

Section: Ambient Assisted Livingmentioning

confidence: 99%

Preference and usability of Smart-Home services and items - A Focus on the Smart-Home living-lab –

Seo

bae

Choi

et al. 2020

Journal of Asian Architecture and Building Engineering

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With the development of the information technology industry, including artificial intelligence (AI) platforms, a Hyperconnected-society has arrived. Smart-Home technologies and services are continuing to overcome early challenges and expanding our expectations for their capabilities to the expectation that they will change our daily lives. The purpose of this study is to examine the theoretical background and trends of Smart-Home development in residential spaces as a recent trend and to derive suggestions for resident-centred Smart-Home planning and development through a questionnaire survey. For this, we collected information on the smart technology (service) and item preferences of visitors to the Smart-Home Living-lab and prepared an evaluation of our findings. From this, a broader understanding of Smart-Home was derived by viewing our data through the lens of usability Our survey, which interrogated all age groups indicated a high preference for items associated with health care, and emergency and safety response items. Second. In particular, there was a high interest in daily health and body change management , yet, contrary to expectations, the preference for health-related services and items was in the more senior group. It is also notable that reference scores were high for items corresponding to automatic sensing, that is, services and items that respond to daily behavior. This research is meaningful as a basic study in specific smart space planning in that uses a practical experience and evaluation of Smart Home where new smart services and items have been implemented, but which have not yet become common. It is also expected to contribute to improving effectiveness and satisfaction by analysing the experience and usability of items and services associated with smart home technology.

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Future changes to smart home based on AAL healthcare service

Cited by 38 publications

References 10 publications

Big Data and Personalisation for Non-Intrusive Smart Home Automation

Big Data and Personalisation for Non-Intrusive Smart Home Automation

Commercial ICT Smart Solutions for the Elderly: State of the Art and Future Challenges in the Smart Furniture Sector

Preference and usability of Smart-Home services and items - A Focus on the Smart-Home living-lab –

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