Remote Body Fitness Monitoring System with Inter-User/Multi-user tracking Software Applications and Social Distancing Warning Sensor

2020 ◽  
Author(s):  
Aniebiet Akpan ◽  
Ahmed Aldabbagh
Keyword(s):  
Monitoring System ◽  
Social Distancing ◽  
Software Applications

Zero-Effort Indoor Continuous Social Distancing Monitoring System

2021 ◽  
Author(s):  
Amber Honnef ◽  
Emily Sawall ◽  
Mohamed Mohamed ◽  
Ali Abdullah S. AlQahtani ◽  
Thamraa Alshayeb
Keyword(s):  
Monitoring System ◽  
Social Distancing

Development of a Social Distancing Monitoring System in Korea: Results of a Modified Delphi Process (Preprint)

2021 ◽  
Author(s):  
Heeyoung Lee ◽  
Suin Seo ◽  
Jin-Ok Han ◽  
Sool Shin
Keyword(s):  
Monitoring System ◽  
Surveillance System ◽  
Response Rate ◽  
Delphi Process ◽  
Surveillance Systems ◽  
Input Process ◽  
Social Distancing ◽  
Modified Delphi ◽  
Process Output ◽  
Different Levels

BACKGROUND Since the COVID-19 pandemic is an ongoing situation in most countries worldwide, a “social distancing” policy as a non-pharmaceutical intervention has been implemented for several months in many countries including Korea. Social distancing policies work in different ways and at different levels. In addition, various forms of surveillance systems have been implemented in different countries. However, there is an almost complete lack of specific surveillance system in Korea to effectively monitor social distancing policy. OBJECTIVE This study aims to develop a monitoring system for social distancing measures in Korea to evaluate and improve the implemented policy. METHODS A draft monitoring system was developed after reviewing Korea's social distancing measures (central and local government briefings) and checking available data for applications. The modified Delphi process was used to evaluate the draft of the monitoring system. In total, 27 experts participated in the evaluation. The round 1 evaluation includes (1) commenting on the composition of the monitoring fields (open response), (2) monitoring indicators for each monitoring field (10-point Likert scale), and (3) commenting on the source of data used to develop the monitoring system (open response). In the round 2 evaluation, 55 indicators, excepting open responses, were re-evaluated. RESULTS The response rate for the Delphi survey was 100% in both the first and second rounds. Of the 55 indicators, 14 were excluded according to experts’ open response comments, as these indicators did not satisfy the quantitative criteria. Finally, 41 indicators were included with 12 available data sources. The monitoring system domain was divided into input, process/output, and result. CONCLUSIONS This study is significant in that it is the first in Korea to develop a comprehensive monitoring system for social distancing policy, and is applicable to estimates utilizing data that are immediately available for each indicator. Furthermore, the developed monitoring system could be a reference for other countries that require the development of such systems to monitor social distancing measures.

scholarly journals Development of a Social Distancing Monitoring System in Korea: Results of a Modified Delphi Process

2021 ◽  
Author(s):  
Suin Seo ◽  
Jin-ok Han ◽  
Sol Shin ◽  
Heeyoung Lee
Keyword(s):  
Monitoring System ◽  
Surveillance System ◽  
Response Rate ◽  
Delphi Process ◽  
Surveillance Systems ◽  
Input Process ◽  
Social Distancing ◽  
Modified Delphi ◽  
Process Output ◽  
Different Levels

Abstract Background: Since the COVID-19 pandemic is an ongoing situation in most countries worldwide, a “social distancing” policy as a non-pharmaceutical intervention has been implemented for several months in many countries including Korea. Social distancing policies work in different ways and at different levels. In addition, various forms of surveillance systems have been implemented in different countries. However, there is an almost complete lack of specific surveillance system in Korea to effectively monitor social distancing policy. This study aims to develop a monitoring system for social distancing measures in Korea to evaluate and improve the implemented policy. Methods: A draft monitoring system was developed after reviewing Korea's social distancing measures (central and local government briefings) and checking available data for applications. The modified Delphi process was used to evaluate the draft of the monitoring system. In total, 27 experts participated in the evaluation. The round 1 evaluation includes (1) commenting on the composition of the monitoring fields (open response), (2) monitoring indicators for each monitoring field (10-point Likert scale), and (3) commenting on the source of data used to develop the monitoring system (open response). In the round 2 evaluation, 55 indicators, excepting open responses, were re-evaluated.Results: The response rate for the Delphi survey was 100% in both the first and second rounds. Of the 55 indicators, 14 were excluded according to experts’ open response comments, as these indicators did not satisfy the quantitative criteria. Finally, 41 indicators were included with 12 available data sources. The monitoring system domain was divided into input, process/output, and result.Conclusions: This study is significant in that it is the first in Korea to develop a comprehensive monitoring system for social distancing policy, and is applicable to estimates utilizing data that are immediately available for each indicator. Furthermore, the developed monitoring system could be a reference for other countries that require the development of such systems to monitor social distancing measures.

scholarly journals Prototype Social Distancing Reminder Using HC-SR04 Sensor At The Payment Counter Via A Smartphone

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Ferry Wahyu Perdana ◽  
Shazana Dhiya Ayuni ◽  
Arief Wisaksono ◽  
Syamsudduha Syahrorini
Keyword(s):  
Infectious Disease ◽  
Monitoring System ◽  
Public Spaces ◽  
Literature Study ◽  
Social Distancing ◽  
Reading Accuracy ◽  
Corona Virus ◽  
New Type

Starting from the beginning of March 2019 and even until the end of 2020, the Indonesian people are experienced prolonged suffering due to the emergence of a new type of infectious disease called Corona Virus 2019. Social Distancing is a program that aims to prevent the transmission of the COVID-19 disease as early as possible. In this research, the method used is the observation technique and literature study for the implementation of the HC-SR04 sensor as one of the distance sensors used for distance reminders implemented in public spaces using IoT as a monitoring system. The results obtained are the reading accuracy of the HC-SR04 sensor is quite accurate to 100% accuracy and when the HC-SR04 sensor detects less than 8cm (1meter real distance) then the DF Player will sound, the LCD will display a display “Jaga Jarak Anda! ", And there will be a notification"Peringatan: Kondisikan Jarak" on a smartphone that has the Blynk application installed.

scholarly journals Sports Ground Audience Health Monitoring System [For COVID-19] Using Smart Wireless Sensor Network

2021 ◽  
Author(s):  
Dharshini V ◽  
Aiswarya S ◽  
Ashwin R ◽  
Usha A
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Health Monitoring ◽  
Wireless Sensor ◽  
Ultrasonic Sensors ◽  
Health Monitoring System ◽  
Social Distancing ◽  
Contagious Diseases ◽  
Pass Through

The recent spread of the COVID-19 has pushed us to a situation to reduce human contacts in crowded areas. The main objective of this work is to protect the audience from the spread of contagious and non-contagious diseases or infections by introducing automation in maintenance and management of sport stadiums. Taking some primary precautions such as social distancing, wearing masks, avoiding crowded areas, cleaning hands, and checking the temperature is very important. This work provides primary check-ups for the audience to pass through, to ensure that no symptomatic person is let inside the stadium. Social distancing is properly maintained using ultrasonic sensors placed inside the stadium, so that nobody sits over the sensor attached seats. To ensure the maintenance of audience data, tickets are being replaced with RFID tags and checking is done automatically through RFID readers. The information is stored and maintained automatically in the server through IoT.

scholarly journals MySD: A Smart Social Distancing Monitoring System

2020 ◽  
Author(s):  
Mohd Ezanee Rusli ◽  
Salman Yussof ◽  
Mohammad Ali ◽  
Ahmed Abdullah Abobakr Hassan
Keyword(s):  
Monitoring System ◽  
Social Distancing

scholarly journals SIMONIC: IoT Based Quarantine Monitoring System for Covid-19

2021 ◽  
Vol 21 (2) ◽  
pp. 112
Author(s):  
Vita Awalia Mardiana ◽  
Mochamad Mardi Martadinata ◽  
Galih Nugraha Nurkahfi ◽  
Arumjeni Mitayani ◽  
Dayat Kurniawan ◽  
...  
Keyword(s):  
Monitoring System ◽  
Negative Impact ◽  
Mobile Apps ◽  
Human Life ◽  
Low Cost ◽  
Low Complexity ◽  
Integrated System ◽  
Contact Tracing ◽  
Social Distancing ◽  
Set Up

COVID-19, which has become a global pandemic since March 2020, has tremendously affected human life globally. The negative impact of COVID-19 affects societies in almost all aspects. Implementing quarantine monitoring, also social distancing, and contact tracing are a series of processes that can suppress the new infected COVID-19 cases in various countries. Prior works have proposed different monitoring systems to assist the monitoring of individuals in quarantines, as well as many methods are offered for social distancing and contact tracing. These methods focus on one function to provide a reliable system. In this paper, we propose IoT-based quarantine monitoring by implementing a geofence equipped with social distancing features to offer an integrated system that provides more benefits than one system carrying one particular function. We propose a system consisting of a low cost, low complexity, and reusable wristband design and mobile apps to support the quarantine monitoring system. For the geofencing, we propose a GPS-based geofence system that was developed by taking advantage of the convenience offered by the Traccar application. Meanwhile, we add the notification for social distancing feature with adaptive distance measurement RSSI-based set up in the android application. Based on the experiment we did to validate the system, in terms of wristband-to-smartphone communication, scanning interval in smartphone and advertising interval in wristband is best to set in 7 s for both. For social distancing notification and geofence, we measure the system performance through precision, recall, accuracy, and F-measure.

Social Distancing Experiment Based on UWB Monitoring System

2021 ◽  
pp. 1026-1033
Author(s):  
Lenin Jimenez ◽  
Eduardo Rodrigues de Lima ◽  
Gustavo Fraidenraich
Keyword(s):  
Monitoring System ◽  
Social Distancing
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