Embracing the Smart-Home Revolution in Asia by the Elderly: An End-User Negative Perception Modeling

Pal, Debajyoti; Papasratorn, Borworn; Chutimaskul, Wichian; Funilkul, Suree

doi:10.1109/access.2019.2906346

Cited by 59 publications

(89 citation statements)

References 90 publications

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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: 81%

“…This is because older people are most commonly the highest users of smart furniture, due mainly to health and disabilities challenges related to ageing. In the United States, it is Electronics 2020, 9,149 3 of 32 estimated that over one billion dollars is spent annually on healthcare [9,10]. Other estimates from the Who Health Organization (WHO) (2012) indicate that the population aged 65 years and over is expected to surpass the number of children under 14 by 2050.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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Section: Future Challengesmentioning

confidence: 78%

Section: Future Challengesmentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

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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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“…The market maturity and popularity of smart homes are still low [26], and the aging adoption trend of the smart home industry is not obvious [27]. However, there is no doubt that a smart home would have a prosperous future and provide an effective solution for the global challenges of an aging society [28].…”

Section: Smart Home For the Elderlymentioning

confidence: 99%

Constructing a Smart Home for Future Elders toward All-around Happiness: Taking Connectivity as the Core Element

2020

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Smart homes, as one of the most prosperous industries of the Internet of Things, have tremendous potential in helping the elderly aging in place and dealing with the global aging society challenges. This study takes the needs of future elderly in China as a starting point and proposes that the core requirement of the aging group is “connectivity”, smart homes for older adults should assist them with connectivity establishment both physically and psychologically to improve their quality of life and help them live an independent, safe, and happy life in their older stage. The article defines the types of elderly connectivity needs as two main types and eight sub-connectivity, and further puts forward thirty smart home subsystems and their implementation elements. Moreover, the research applies the Kano model and questionnaire survey to provide the empirical proof of those thirty smart home subsystems based on the analysis of 371 questionnaire responses. Last but not least, we construct a five-layer architecture and abstract four principles on the connectivity building of a smart home for future Chinese elders. The research explores the possibility of building a wide range of connectivity and all-around happiness smart home environment for future elderly, which provides significant insights and an important reference for both the smart home industry and the pension industry.

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“…IoT is the integration of heterogeneous physical devices with embedded software, networks and information technology, with the ability to share information and provide optimal service to users without manual intervention. IoT improves our daily lives by offering highly intelligent services and facilities such as the smart home [1], smart healthcare [2], smart transportation [3], smart cities [4] and smart industries [5]. However, the technical integration of smart devices and the IoT also has adverse effects, such as threats to security and privacy due to the ability of these devices to store critical…”

Section: Introductionmentioning

confidence: 99%

Low-Overhead Remote User Authentication Protocol for IoT Based on a Fuzzy Extractor and Feature Extraction

et al. 2019

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The Internet of things (IoT) is a system of smart technologies and services that mutually communicate data between users and devices or between devices via the Internet. Since data are shared between a remote user and various sensing devices over a network, it is essential to design a secure, lightweight and efficient remote user authentication protocol for the IoT environment. In the context of security and network privacy, mutual authentication is necessary for securely accessing the services of the IoT environment. However, the IoT faces substantial new challenges realizing mutual authentication due to IoT devices constraints. In this paper, we present a lightweight, robust and secure authentication protocol that satisfies constraints on IoT devices. The proposed protocol is based on level 3 feature extraction, fuzzy extraction of the user's biometrics, one-way hash functions and XOR operations and includes (1) three-factor authentication (user password, biometrics and smart devices), (2) mutual authentication, (3) a session key, and (4) key freshness. Furthermore, we have used the Burrows-Abadi-Needham logic to prove the authentication of our proposed protocol. In addition, our proposed protocol does not require additional hardware or a resource-constrained cryptosystem, and for that reason; hence, it has the lowest computational cost on the IoT nodes (0.003_ms), the lowest total computational cost (0.071_ms), and the lowest communication cost (2784 bits) compared with other relevant works. Moreover, we have conducted an informal security analysis to prove its ability to withstand well-known malicious attacks, such as replay attacks, impersonation attacks, password change attacks, man-in-the-middle (MITM) attacks, and denial of service (DOS) attacks.

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Embracing the Smart-Home Revolution in Asia by the Elderly: An End-User Negative Perception Modeling

Cited by 59 publications

References 90 publications

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

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

Constructing a Smart Home for Future Elders toward All-around Happiness: Taking Connectivity as the Core Element

Low-Overhead Remote User Authentication Protocol for IoT Based on a Fuzzy Extractor and Feature Extraction

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