Smart Home Solutions Using Wi-Fi-based Hardware

Hercog, Darko; Sedonja, Dominik; Recek, Blaž; Truntič, Mitja; Gergič, B.

doi:10.17559/tv-20190730075217

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…Lung cancer, insomnia, leg pain >70, 3 females 3 Sprint et al [12] Amnestic, mild cognitive impairment, dementia >70, 1 male, 3 females 4 Lazarou et al [48] Healthy >60, 1 female 1 Hercog et al [49] N/A N/A 0 Yang and Hsu [50] Method evaluation (n=3) N/A N/A 0 Yao et al [51] Healthy >18 13 Fleury et al [52] Healthy >18 17 Fiorini et al [53] Longitudinal studies (n=3)…”

Section: Case Studies (N=4)mentioning

confidence: 99%

“…Clustering in 5 studies [1,28,30,34,53] and Hidden Markov Model in 4 studies [23,30,34,39] were the most used in data analysis to identify a regular pattern and predict future patterns. The other algorithms used in the studies were decision tree emerging pattern [11,25,27], clustering conditional random field [37,51], context-aware reasoning [28,42], fuzzy logic [41,49], k-nearest neighbors [10,51], logistic regression classifier [51,55], AdaBoost [10], Bayes network [27], boosting model using ensemble [42], circadian activity rhythms [47], multi-Hidden Markov Model [34], multiple regression model [42], multivariate habits cluster [44], ontological modelling [41], software for automatic measurement of circadian activity deviation [47], and support vector machines [52].…”

Section: Data Collection and Analysismentioning

confidence: 99%

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Health Monitoring Using Smart Home Technologies: Scoping Review

Sahu¹,

Oetomo²,

Morita³

2023

JMIR Mhealth Uhealth

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Background The Internet of Things (IoT) has become integrated into everyday life, with devices becoming permanent fixtures in many homes. As countries face increasing pressure on their health care systems, smart home technologies have the potential to support population health through continuous behavioral monitoring. Objective This scoping review aims to provide insight into this evolving field of research by surveying the current technologies and applications for in-home health monitoring. Methods Peer-reviewed papers from 2008 to 2021 related to smart home technologies for health care were extracted from 4 databases (PubMed, Scopus, ScienceDirect, and CINAHL); 49 papers met the inclusion criteria and were analyzed. Results Most of the studies were from Europe and North America. The largest proportion of the studies were proof of concept or pilot studies. Approximately 78% (38/49) of the studies used real human participants, most of whom were older females. Demographic data were often missing. Nearly 60% (29/49) of the studies reported on the health status of the participants. Results were primarily reported in engineering and technology journals. Almost 62% (30/49) of the studies used passive infrared sensors to report on motion detection where data were primarily binary. There were numerous data analysis, management, and machine learning techniques employed. The primary challenges reported by authors were differentiating between multiple participants in a single space, technology interoperability, and data security and privacy. Conclusions This scoping review synthesizes the current state of research on smart home technologies for health care. We were able to identify multiple trends and knowledge gaps—in particular, the lack of collaboration across disciplines. Technological development dominates over the human-centric part of the equation. During the preparation of this scoping review, we noted that the health care research papers lacked a concrete definition of a smart home, and based on the available evidence and the identified gaps, we propose a new definition for a smart home for health care. Smart home technology is growing rapidly, and interdisciplinary approaches will be needed to ensure integration into the health sector.

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Section: Case Studies (N=4)mentioning

confidence: 99%

Section: Data Collection and Analysismentioning

confidence: 99%

Health Monitoring Using Smart Home Technologies: Scoping Review

Sahu¹,

Oetomo²,

Morita³

2023

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

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Health Monitoring Using Smart Home Technologies: Scoping Review (Preprint)

Sahu¹,

Oetomo²,

Morita³

2022

Preprint

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BACKGROUND The Internet of Things (IoT) has become more integrated into everyday life, with devices becoming permanent fixtures in many homes. As countries face increasingly older populations, the use of IoT devices to support independent living for elderly individuals and others who need support is now possible. These groups may require assistance or varying levels of monitoring within the home. Smart home technologies that are unobtrusive, continuous, and reliably monitor healthy behaviour can fill this gap. The rationale of this scoping review is to provide insight into this evolving field of research by surveying the technologies available for in-home monitoring. OBJECTIVE This scoping review evaluated smart home technology approaches to identify behavioural patterns and health indicators that could support caregivers and healthcare providers with standardized guidelines. METHODS The study used the methodological framework proposed by Arksey and O'Malley. We analyzed articles published between 2008 and 2021 to understand better the scope of smart home data used to monitor vulnerable populations. Interest in smart home research increased rapidly after 2008, as technologies became more widely available. Only journal articles in English were included from PubMed, Scopus, ScienceDirect, and CINAHL databases. Search terms included smart home, ambient assisted living, health, and monitor. RESULTS Forty-nine of the most recent and relevant articles were included in this scoping review. Most of the studies were from Europe and North America. The largest proportion of the studies were proof of concept, pilot studies, and related to the development of infrastructure architecture and testing of algorithms. Findings from these studies have been summarised by human-centric and techno-centric features. Nearly 78% of the studies have data from humans, 63 % mentioned age, and only 33 % mentioned the sex of the participants. Most of the studies had data from the elderly population (primarily female subjects) in the home setting. Nearly 60 % of the studies reported on the health status of the participants. Technocentric features included the type of data collected, the type of sensors used and analysis methods, respectively. A wide range of sensors were used across the studies, as were the variety of outcomes measured by each representing different health indicators. PIR sensors were the frequently used sensors, while activity or motion detection and recognition were the commonly used health parameters. There were many technical challenges and barriers, including a lack of collaboration and use of interdisciplinary approaches. There is no standardized definition of a smart home in the literature, and, thus, the authors proposed a new definition. CONCLUSIONS In conclusion, smart home technology has the potential to improve the monitoring of vulnerable populations, especially those ageing in the community, but it has not been fully explored. The use of Big Data, artificial intelligence algorithms, including machine and deep learning, with near-real-time dissemination of the results, will be the future of in-home health monitoring.

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Smart Home Solutions Using Wi-Fi-based Hardware

Cited by 2 publications

References 24 publications

Health Monitoring Using Smart Home Technologies: Scoping Review

Health Monitoring Using Smart Home Technologies: Scoping Review

Health Monitoring Using Smart Home Technologies: Scoping Review (Preprint)

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