Real-Time Elderly Healthcare Monitoring Expert System Using Wireless Sensor Network

Almarashdeh, Ibrahim; Alsmadi, Mutasem K.; Hanafy, Tamer; Albahussain, Abdullah S.; Badawi, aUsama; Altuwaijri, Njoud; Almaimoni, Hala; Asiry, Fatima; Alowaid, Shahad; Alshabanah, Muneerah; Alrajhi, Daniah; Fraihet, Amirah Al; Jaradat, Ghaith M.

doi:10.2139/ssrn.3415732

Cited by 39 publications

(24 citation statements)

References 34 publications

(43 reference statements)

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“…[ 39 ] presented a smart healthcare monitoring system capable of observing elderly people remotely. In [ 40 ], an elderly health care (EHC) system for covering the real health needs of the elderly was introduced. Arshad et al.…”

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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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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“…These nodes evaluate throughput, the data dropped rate and the delay for a maximum of 7 nodes as approximately 12000 bps, 180 bps, and 115 ms, respectively. We study a real-time elderly healthcare monitoring system [29] that utilize a wireless sensor network where bracelet-type devices are equipped with sensors that received data in real time and stored in a centralized server for monitoring and analysis. A sensor-based structural health monitoring and early earthquake warning system is proposed in [30] that presented a monitoring and warning generation system in presence of seismic events in the 5G communication domain.…”

Section: B Related Workmentioning

confidence: 99%

“…The research work explained in [30] satisfied the URLLC latency bound but reliability not guaranteed. Another sensor-based elderly healthcare monitoring system presented in [29] not determined the reliability and latency for their proposed system. The existing research works are different in application environment and not suitable to convert robotic communication into the wireless domain.…”

Section: Contributionsmentioning

confidence: 99%

Multiband Massive Channel Random Access in Ultra-Reliable Low-Latency Communication

et al. 2020

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Ultra-Reliable Low-Latency Communication (URLLC) is challenging due to its extremely higher reliability requirement with stringent short latency packet transmission. In order to overcome this reliability and latency bound, a communication access scheme needs to assure almost error-free and high speed packet transmission. In this paper, a new multiple-access scheme-Orthogonal Frequency-Subcarrier-based Multiple Access (OFSMA)-is proposed with URLLC's high requirement adaptation. In this scheme, the packet diversity concept is incorporated to achieve the expected packet transmission reliability and a diverse number of the duplicated packet are processed with a set of operations and transmitted over randomly selected orthogonal subcarrier frequency channels. Performances of the OFSMA system are measured in terms of applying several numbers of frequency bands, a massive number of subcarrier channels, a different number of packet duplications, and a diverse rate of traffic arrival conditions. We determined the minimum number of subcarrier channels requirement to satisfy the reliability of 99.999% for different packet duplication in presence of different frequency bands. The reliability response for a fixed number of subcarrier channels is evaluated for different frequency band conditions. Finally, the air interface latency of the OFSMA system is measured for single packet uplink transmission and compared with that of a traditional OFDMA system. The performance results in terms of reliability and latency express that the OFSMA scheme can assure the expected reliability and latency defined by URLLC.

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“…They could be external hardware, human users or other application helps individuals get rid of some recyclable waste in exchange for certain points and allows them to specify the days and hours they want to get rid 32], even the methods of complaint management applications for the real world complaint management issues. Today, the use of Artificial Intelligence (AI) algorithms is expansive, particularly in providing solution to challenging problems including patterns recognition and retrieval of information [27,[33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49], 55], analysis of medical image [56][57][58][59][60], Learning e Monitoring system [26,91]. Accordingly, many researchers have used the Artificial Intelligence as an effective tool for environment protection, sustainability and Smart process of system analysis aims to study an existing system to entirely design a new system.…”

Section: Use Case Diagrammentioning

confidence: 99%

Developing and Implementing a Web-Based Recycling System for Protecting the Green Environment

Al-Omairi¹,

WejdanHamadAlNasheri²,

Al-Qarni³

et al. 2019

IJSEA

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Our society suffers a lot from the things that are thrown uselessly; these things may be beneficial to our society. On the other hand, communities suffer a lot of waste especially plastic waste; this has led to environmental pollution and depletion of natural resources. Therefore, this research aims to achieve sustainable development and achieve part of the Saudi Arabia vision 2030. Hence we have distributed a questionnaire to 88 responders, and based on the results of this study, which shows the importance of recycling and its impact on the environment and the extent of community interest in this subject and their supporters, The Let's Recycle site, based on the results of the questionnaire, will improve waste and plastics disposal in an environmentally positive manner.The proposed system was developed using the Unified Modelling Language (UML) and Microsoft Visual Studio2010 programming language.

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Real-Time Elderly Healthcare Monitoring Expert System Using Wireless Sensor Network

Cited by 39 publications

References 34 publications

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

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

Multiband Massive Channel Random Access in Ultra-Reliable Low-Latency Communication

Developing and Implementing a Web-Based Recycling System for Protecting the Green Environment

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