SensMask: An Intelligent Mask for Assisting Patients during COVID-19 Emergencies

Authors

  • Joy Lal Sarkar Tripura University, Department of Computer Science and Engineering
  • Ramasamy V. Park College of Engineering and Technology, Department of Computer Science and Engineering
  • Abhishek Majumder Tripura University, Department of Computer Science and Engineering
  • Chhabi Rani Panigrahi Rama Devi Women’s University, Department of Computer Science
  • Gomathy B. KPR Institute of Engineering and Technology, Department of Computer Science and Engineering
  • Bibudhendu Pati Rama Devi Women’s University, Department of Computer Science
  • Apu Kumar Saha National Institute of Technology, Department of Mathematics

DOI:

https://doi.org/10.13053/cys-25-3-3924

Keywords:

COVID-19, sensor, cloudlet, gateways, cloud, mask

Abstract

A new pandemic disease named as novel corona virus disease (COVID-19) was discovered during end of 2019 in Wuhan city of China and was quickly spread throughout the globe. But, till now no medicine is available to fight against the infection caused by the disease. The infection may also be transmitted easily from person to person through highly infectious nasal droplets when a healthy person comes in contact with a distance of less than 1m from the affected person. The doctors, physicians as well as nurses consult the patients very closely to assess the health conditions of the affected persons and there is a great chance that they may carry infection from them. In this work, we have proposed an intelligent mask to assist COVID-19 patients/doctors/nurses with an innovative SensMask to address this issue. This mask contains GPS sensor, IR proximity sensor, walk sensor and FS5 sensor. All patients need to wear this mask to observe the health details. Such sensors monitor health data from patients and send it to the cloud through the home/hospital-based local cloudlet. The cloudlet information is used by physicians for further diagnosis of patients. This proposed approach was simulated and the results obtained indicate that it helps in maximizing throughput and reduced delay.

Downloads

Published

2021-08-18

Issue

Vol. 25 No. 3 (2021): 25(3) 2021

Section

Articles

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.