Systematic Literature Review of Smart Home Monitoring Technologies Based on IoT for the Elderly

Maswadi, Kholoud; Ghani, Norjihan Binti Abdul; Hamid, Sharifah Bee Binti O.A Abd

doi:10.1109/access.2020.2992727

Cited by 69 publications

(31 citation statements)

References 50 publications

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“…In the second dimension, we have ranked the selected literature. We have applied the score ranking criteria which has been already used in [150], [151]. All 134 documents have been evaluated for each RQ individually and ranked according to the below-scoring strategy: -Maximum Score for all RQs = 7 1.…”

Section: Quality Evaluationsmentioning

confidence: 99%

ICT Enabled TVET Education: A Systematic Literature Review

Hassan

Naseer

et al. 2021

IEEE Access

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Economies of the world and workforce level of skills are changing rapidly. Industrial revaluations and knowledge economies have raised the demand for a knowledgeable and digitally equipped skilled workforce. Technical and Vocational Education and Training (TVET) is an educational stream that provides vocational skills to youth and produces a skilled workforce for the industry. The role of Information and Communication Technologies (ICT) in the TVET pedagogy, training delivery, teachers training, curriculum, and labs is need of the day to meet current era challenges. In the TVET education training cycle, the level of ICT enablement is required to be reviewed. This Systematic Literature Review (SLR) evaluates literature for innovation of ICT in TVET education for the last ten years. This study aims to identify and present ICT-based technology innovations, research, and applications used in TVET training cycle system components / functional areas to identify gaps for future research directions/agenda. This gap identification will help (i) TVET training institutes to upgrade their teachers, curriculum, labs and, equipment, (ii) policymakers to devise technology-oriented skilled workforce development policies, (iii) to provide guidelines to industry, researchers, and academics to focus on gaps to address future challenges of workforce development. Based on the search string, we found 2,445 relevant documents and after applying quality assurance and inclusion/exclusion criteria, finally, 134 documents were selected for the study and analyzed. The result of this systematic literature review identifies that ICT technologies and application dispersion into TVET training cycle system components / functional areas is very low particularly in monitoring and evaluation, career guidance and job placement, trainee's assessment, and teacher's training. TVET Technology index suggests that much focus is needed on IoT, Robotics, Data Science, Artificial intelligence, cloud computing, and other similar technology induction to all TVET training.

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Section: Quality Evaluationsmentioning

confidence: 99%

ICT Enabled TVET Education: A Systematic Literature Review

Hassan

Naseer

et al. 2021

IEEE Access

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“…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

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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.

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“…Implementing high-performance home care monitoring systems for the elderly has been investigated thoroughly in smart homes [ 28 , 29 , 30 , 31 , 32 , 33 ]. Table 1 shows a comparison of related work for home monitoring.…”

Section: Related Workmentioning

confidence: 99%

Nonintrusive Fine-Grained Home Care Monitoring: Characterizing Quality of In-Home Postural Changes Using Bone-Based Human Sensing

Chen

Saiki

Nakamura

2020

Sensors

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In contrast to the physical activities of able-bodied people at home, most people who require long-term specific care (e.g., bedridden patients and patients who have difficulty walking) usually show more low-intensity slow physical activities with postural changes. Although the existing devices can detect data such as heart rate and the number of steps, they have been increasing the physical burden relying on long-term wearing. The purpose of this paper is to realize a noninvasive fine-grained home care monitoring system that is sustainable for people requiring special care. In the proposed method, we present a novel technique that integrates inexpensive camera devices and bone-based human sensing technologies to characterize the quality of in-home postural changes. We realize a local process in feature data acquisition once per second, which extends from a computer browser to Raspberry Pi. Our key idea is to regard the changes of the bounding box output by standalone pose estimation models in the shape and distance as the quality of the pose conversion, body movement, and positional changes. Furthermore, we use multiple servers to realize distributed processing that uploads data to implement home monitoring as a web service. Based on the experimental results, we conveyed our findings and advice to the subject that include where the daily living habits and the irregularity of home care timings needed improvement.

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Systematic Literature Review of Smart Home Monitoring Technologies Based on IoT for the Elderly

Cited by 69 publications

References 50 publications

ICT Enabled TVET Education: A Systematic Literature Review

ICT Enabled TVET Education: A Systematic Literature Review

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

Nonintrusive Fine-Grained Home Care Monitoring: Characterizing Quality of In-Home Postural Changes Using Bone-Based Human Sensing

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