Integrating Cloud Computing, Internet-of-Things (IoT), and Community to Support Long-Term Care and Lost Elderly Searching

Sie, Jheng-Jhe; Yang, Shangchen; Hong, Zih-Yun; Liu, Chien-Kai; Chen, Jen–Jee; Li, Simon Cimin

doi:10.1109/ics.2016.0097

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…Consequently, it is obvious that the combination of IoT and cloud computing has been reached its maximum in recent years [54,55]. This trend has reflected on several surveys [56][57][58], and consequently products [59].…”

Section: Combination Of Cloud and Iotmentioning

confidence: 99%

“…Consequently, an automated system to trace and record the activities of elders is of high demand. A platform from a combination of sensor networks, community, cloud, and IoT have been proposed by Sie et al [59] called LAESO (Long term care based smart home platform). Sie et al [59] have combined nine axis sensor and particle filter to provide indoor positioning.…”

Section: Proposed Integrations With Other Technologies Articlesmentioning

confidence: 99%

“…falling down), LAESO has developed location-based video monitoring service, and emergency notification by combining the GPS positioning and crowd sensing. Sie et al [59] have proposed a novel searching method for lost elders. With the presented framework, immediate identification and therapy are possible.…”

Section: Proposed Integrations With Other Technologies Articlesmentioning

confidence: 99%

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Integration of Internet of Things and cloud computing: a systematic survey

et al. 2020

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Section: Combination Of Cloud and Iotmentioning

confidence: 99%

Section: Proposed Integrations With Other Technologies Articlesmentioning

confidence: 99%

Section: Proposed Integrations With Other Technologies Articlesmentioning

confidence: 99%

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Integration of Internet of Things and cloud computing: a systematic survey

et al. 2020

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“…, , , … is a specific eigenvector, C is a certain category. In term of LTC and nursing studies, Jheng-JheSie et al (Sie et al, 2016) propose a system platform that integrates the Internet of Things (IoT), cloud, sensing network and community for use in elderly care. Through the use of real-time video surveillance, the system platform realizes activity monitoring, log, electronic nursing, and indoor positioning, so as to improve the life convenience for the elderly.…”

Section: Related Workmentioning

confidence: 99%

Knowledge Fusion Based on Cloud Computing Environment for Long-Term Care

Zhuang

Hsu

2020

International Journal of Healthcare Information Systems and Informatics

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Globally, aging is now a societal trend and challenge in many developed and developing countries. A key medical strategy that a fast-paced aging society must consider is the provision of quality long-term care (LTC) services. Even so, the lack of LTC caregivers is a persistent global problem. Herein, attention is called to the increasing need for identifying appropriate LTC caregivers and delivering client-specific LTC services to the elderly via emerging and integrative technologies. This paper argues for the use of an intelligent cloud computing long-term care platform (ICCLCP) that integrates statistical analysis, machine learning, and Semantic Web technologies into a cloud-computing environment to facilitate LTC services delivery. The Term frequency-inverse document frequency is a numerical statistic adopted to automatically assess the professionalism of each LTC caregiver's services. The machine learning method adopts naïve Bayes classifier to estimate the LTC services needed for the elderly. These two items of LTC information are integrated with the Semantic Web to provide an intelligent LTC framework. The deployed ICCLCP will then aid the elderly in the recommendation of LTC caregivers, thereby making the best use of available resources for LTC services.

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“…Meanwhile, the Taiwan government strongly applied the use of various Internet of Things (IoT) applications in the "10-year long-term care program 2.0". It is expected that the long-term care system will be improved through information and communication technology (ICT) support [6,7].…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Image Recognition System for Smart Home-Delivered Meal Services

et al. 2017

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Population ageing is an important global issue. The Taiwanese government has used various Internet of Things (IoT) applications in the "10-year long-term care program 2.0". It is expected that the efficiency and effectiveness of long-term care services will be improved through IoT support. Home-delivered meal services for the elderly are important for home-based long-term care services. To ensure that the right meals are delivered to the right recipient at the right time, the runners need to take a picture of the meal recipient when the meal is delivered. This study uses the IoT-based image recognition system to design an integrated service to improve the management of image recognition. The core technology of this IoT-based image recognition system is statistical histogram-based k-means clustering for image segmentation. However, this method is time-consuming. Therefore, we proposed using the statistical histogram to obtain a probability density function of pixels of a figure and segmenting these with weighting for the same intensity. This aims to increase the computational performance and achieve the same results as k-means clustering. We combined histogram and k-means clustering in order to overcome the high computational cost for k-means clustering. The results indicate that the proposed method is significantly faster than k-means clustering by more than 10 times.

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Integrating Cloud Computing, Internet-of-Things (IoT), and Community to Support Long-Term Care and Lost Elderly Searching

Cited by 8 publications

References 9 publications

Integration of Internet of Things and cloud computing: a systematic survey

Integration of Internet of Things and cloud computing: a systematic survey

Knowledge Fusion Based on Cloud Computing Environment for Long-Term Care

IoT-Based Image Recognition System for Smart Home-Delivered Meal Services

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