A Smart System for Elderly Care using IoT and Mobile Technologies

Saraubon, Kobkiat; Anurugsa, Keattisuk; Kongsakpaibul, Adichart

doi:10.1145/3301761.3301769

Cited by 25 publications

(7 citation statements)

References 7 publications

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“…IoT sensors can continuously record and monitor data from different parts of the body. Researchers have proposed the use of the IoT for remotely monitoring elderly patients' health [3]. Measurements such as heart rate, blood pressure, and body temperature [4] can be collected remotely.…”

Section: Sonification Applications In the Iotmentioning

confidence: 99%

A Comparative Analysis of Modeling and Predicting Perceived and Induced Emotions in Sonification

et al. 2021

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Sonification is the utilization of sounds to convey information about data or events. There are two types of emotions associated with sounds: (1) “perceived” emotions, in which listeners recognize the emotions expressed by the sound, and (2) “induced” emotions, in which listeners feel emotions induced by the sound. Although listeners may widely agree on the perceived emotion for a given sound, they often do not agree about the induced emotion of a given sound, so it is difficult to model induced emotions. This paper describes the development of several machine and deep learning models that predict the perceived and induced emotions associated with certain sounds, and it analyzes and compares the accuracy of those predictions. The results revealed that models built for predicting perceived emotions are more accurate than ones built for predicting induced emotions. However, the gap in predictive power between such models can be narrowed substantially through the optimization of the machine and deep learning models. This research has several applications in automated configurations of hardware devices and their integration with software components in the context of the Internet of Things, for which security is of utmost importance.

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Section: Sonification Applications In the Iotmentioning

confidence: 99%

A Comparative Analysis of Modeling and Predicting Perceived and Induced Emotions in Sonification

et al. 2021

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“…Since smart mobile devices are easier to use and carry than laptop computers, elderly people prefer smartphones; many applications provided by the hospitals have already been in use to allow registration, book an appointment, pay and receive lab reports and notifications [87]. There have been geriatric care systems proposed to have the capability to monitor falls, heart rate, and video surveillance using IoT and mobile technology [88]. Other areas where the geriatric mobile health system has proved to be substantial are cardiac diseases [89,90], mental health [91,92], diabetes [93], and other chronic disorders [94,95].…”

Section: Mobile Healthcare Servicesmentioning

confidence: 99%

IoT-based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

Ali¹,

Khan²

2023

Preprint

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This paper is a review of the current state of IoT-based technologies in the healthcare field for the elderly population. The increasing population of elderly people has led to a greater demand for healthcare services to meet their unique needs. IoT-based technologies have emerged as a promising solution to address this demand. The paper analyses the current trends, challenges, and future opportunities for research in this area. It highlights how IoT-based technologies can be utilized to improve healthcare for older adults, from remote monitoring and telemedicine to fall detection and medication management. The paper also acknowledges that there are still challenges to be addressed, such as data privacy and security, but the potential benefits for older adults outweigh the challenges. The paper also examines the impact of the industrial revolution on the aging population and the corresponding increase in demand for geriatric healthcare. In summary, this paper delves into the current status of IoT-based technologies in geriatric healthcare and its future prospects, with a focus on addressing the needs of the aging population and improving their quality of life.

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“…In many IoT-based systems, the smartphone is used as a gateway for data communication among hospitals, pharmacies, medical authorities, and patients (Figure 3). Saraubon et al have proposed a smart geriatric care system using IoT and mobile technology to detect falls, monitor heart rate, and provide real-time video monitoring [46]. In another study [47], a data mining-based approach was employed in the mobile healthcare system for activity recognition.…”

Section: Mobile Healthcare Servicesmentioning

confidence: 99%

The Internet of Things in Geriatric Healthcare

Sahu

Pradhan

Khasnobish

et al. 2021

Journal of Healthcare Engineering

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There is a significant increase in the geriatric population across the globe. With the increase in the number of geriatric people and their associated health issues, the need for larger healthcare resources is inevitable. Because of this, healthcare service-providing industries are facing a severe challenge. However, technological advancement in recent years has enabled researchers to develop intelligent devices to deal with the scarcity of healthcare resources. In this regard, the Internet of things (IoT) technology has been a boon for healthcare services industries. It not only allows the monitoring of the health parameters of geriatric patients from a remote location but also lets them live an independent life in a cost-efficient way. The current paper provides up-to-date comprehensive knowledge of IoT-based technologies for geriatric healthcare applications. The study also discusses the current trends, issues, challenges, and future scope of research in the area of geriatric healthcare using IoT technology. Information provided in this paper will be helpful to develop futuristic solutions and provide efficient cost-effective healthcare services to the needy.

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A Smart System for Elderly Care using IoT and Mobile Technologies

Cited by 25 publications

References 7 publications

A Comparative Analysis of Modeling and Predicting Perceived and Induced Emotions in Sonification

A Comparative Analysis of Modeling and Predicting Perceived and Induced Emotions in Sonification

IoT-based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

The Internet of Things in Geriatric Healthcare

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