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IoT System for Collecting Vital Signs and Geographic Location Data of Mobile Users
Proc. - Int. Conf. Commun., Inf. Syst. Comput. Eng., CISCE ; : 163-168, 2020.
Article in English | Scopus | ID: covidwho-998619
ABSTRACT
Currently, the 2019 novel coronavirus(2019-nCoV) has caused a worldwide emergency because of its long period of incubation and high infectivity. As the first country where the severity of the disease has been witnessed, China has been implementing some effective policies to prevent the spread of the infection. For example, all citizens, who come back to the community from other cities, other provinces, or other countries, have to be obligatorily isolated until they were affirmed to be uninfected. However, there was someone who concealed the travel experiences in the health survey, and they had infected many healthy people before testing positive for Coronavirus. Therefore, in this paper, an IoT system, which is composed of the wearable healthcare device, the smartphone, and the cloud servers, is described. It aims to give support for the management of communities to distinguish the people having close contact with the confirmed cases. Hence, basic health monitoring sensors are employed by the wearable device, and this device will be cheaper than the common wearable products, such as Mi Band or iWatch, because it only has the basic functions. Furthermore, the device can communicate with the smartphone of users via Bluetooth Low Energy to send messages about health conditions or receive simple commands. Moreover, through the techniques of the internet, the phone can convey the vital signals and the present locations of users, which are obtained by special locating systems, to the cloud server. The cloud server processes and records the data, and an application on the smartphone can provide the visualized results of cloud computing to users. © 2020 IEEE.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Proc. - Int. Conf. Commun., Inf. Syst. Comput. Eng., CISCE Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Proc. - Int. Conf. Commun., Inf. Syst. Comput. Eng., CISCE Year: 2020 Document Type: Article