Journal of Cognitive Human-Computer Interaction

Journal DOI

https://doi.org/10.54216/JCHCI

Submit Your Paper

2771-1463ISSN (Online) 2771-1471ISSN (Print)

Volume 2 , Issue 2 , PP: 40-49, 2022 | Cite this article as | XML | Html | PDF | Full Length Article

Personnel Monitoring System Using Mobile Application during the COVID 19

Nishanthi. G 1 , Yuvashree 2 , A, Jessinda Joseph 3 , Supraja. RSupraja. R 4

  • 1 Department of Information Technology Vel tech Hightech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Vel Tech Road,Chennai-600062 - (nishanthi@velhightech.com)
  • 2 Department of Information Technology Vel tech Hightech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Vel Tech Road,Chennai-600062 - (athiyuva2513@gmail.com)
  • 3 Department of Information Technology Vel tech Hightech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Vel Tech Road,Chennai-600062 - (jessindajoseph@gmail.com)
  • 4 Department of Information Technology Vel tech Hightech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Vel Tech Road,Chennai-600062 - (suprajaravichandran03@gmail.com)
  • Doi: https://doi.org/10.54216/JCHCI.020201

    Received: October 28, 2021 Accepted: December29, 2021
    Abstract

    Corona virus disease(COVID-19) is a disease caused by the new corona virus called severe acute respiratory syndrome corona virus  (SARS CoV-2). This disease has infected almost the entire world with a total of 47.5 million sufferers and a death total of 1.2 million people, WHO categorizes it as a global pandemic. Proven efforts to reduce the spread of COVID-19 include limiting physical interactions between humans or physical distance, maintaining the cleanliness of hands and limbs by washing with soap, and limiting outdoor activities by staying at home. Government and private agencies have required employees to report their health conditions via web pages. Real-time and accurate mobile applications can help prevent the spread of COVID-19. This research will develop a real-time monitoring and command system using mobile applications and cloud computing technology. The application will collect GPS-based location data and the user's body condition in the form of temperature and oxygen levels in the blood. User data is stored and processed in a real-time database in cloud computing which can be accessed through an application on the user's smart phone. The database also stores data on COVID-19 sufferers and where they live. Advice is given by the app when the recording of the body condition points to the early symptoms of COVID-19.

    Keywords :

      , Monitoring System, Covid-19, Healthcare, Mobile Applications

    References

    [1] B. K. Romanov, ―Corona virus disease COVID- 2019,‖ Saf. Risk Pharmacother., vol. 8, no. 1, pp. 3–8, 2020,

    doi: 10.30895/231

    [2] K. S. Shashikant, ―Android Based Mobile Smart Tracking System,‖ vol. 5, no. 1, pp. 410–420, 2015

    [3] OECD, "Tracking and tracing COVID: Protecting privacy and data while using apps and biometrics," Oecd, no.

    April, pp. 1–5, 2020. S. Van der Spek, J. Van Schaick, P. De Bois, and R. De Haan,"Sensing Human Activity:

    GPS Tracking," Sensors, vol. 9, no. 4, pp. 3033–3055, 2009,doi: 10.3390/s90403033

    [4] C. P. Dharshini, J. P. Anka, S. G. Thri, P. Ranjan Prem, and K. M. A. Chellvan, "A Novel Object Tracking

    System using GPS and GSM for Safety and Security of the Society," Int. J. Eng. Trends Technol., vol. 67, no. 2,

    pp. 29–32, 2019, doi: 10.14445/22315381/ijett-v67i2p206

    [5] I. Ibrahim, "Development of Location Detection and Human Tracking Application via GPS and GSM Service:

    A Pilot Study," J. Adv. Comput. Networks, vol. 4, no. 3, pp. 179–183, 2016, doi: 10.18178/jacn.2016.4.3.227

    [6] C. Khawas and P. Shah, "Application of Firebase in Android App Development-A Study," Int. J. Comput.

    Appl., 2018, doi:10.5120/ijca2018917200.

    [7] Y. Alhomsi et al., "Real-Time Communication Network Using Firebase Cloud IoT Platform for ECMO

    Simulation," Proc. - 2017 IEEE Int. Conf. Internet Things, IEEE Green Comput. Commun. IEEE Cyber, Phys.

    Soc. Comput. IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017, vol. 2018-Janua, no. April

    2019, pp. 178–182, 2018, doi: 10.1109/iThings-Green Com-CPSComSmartData.2017.31

    [8] J. Samual, "Implementation of GPS Based Object Location and Route Tracking on Android Device," Int. J. Inf.

    Syst. Eng., vol. 3, no. 2, 2015, doi: 10.24924/ijise/2015.11/v3.iss2/61.72.

    [9] P. Kumar and P. Kumar, "Arduino based wireless intrusion detection using IR sensor and GSM," IJCSMC, vol.

    2, issue 5, pp. 417–424, May 2013

    [10] S. Darekar, A. Chikane, R. Diwate, A. Deshmukh, A. Shinde, "Tracking system using GPS and GSM: Practical

    approach," International Journal of Scientific & Engineering Research, vol. 3, issue 5, May-2012

    [11] R. Gupta and B. Reddy, "GPS and GPRS based cost-effective human tracking system using mobile phones,"

    Viewpoint, vol. 2, no. 1, January–June 2011

    [12] Kretzschmar M et al. (2020) "Impact of delays on the effectiveness of contact tracing strategies for COVID-19:

    a modeling study". The Lancet Public Health, vol. 5, 8,e452-e459, ISSN 2468-2667

    [13] McAloon C et al. (2020) "Incubation period of COVID-19: a rapid systematic review and meta-analysis of

    observational research." BMJ open vol. 10,8 e039652. doi:10.1136/bmjopen-2020-039652

    [14] Juneau, CE et al. (pre-print, 2020) "Effective Contact Tracing for COVID-19: A Systematic Review". medRxiv

    [15] P. Kavitha , R. Subha Shini , R. Priya, "An Implementation Of Statistical Feature Algorithms For The Detection

    Of Brain Tumor", Journal of Cognitive Human-Computer Interaction, 2021, DOI:

    https://doi.org/10.54216/JCHCI.010202.

    [16] Sonia Jenifer Rayen, "Survey On Smart Cane For Visually Impaired Using IOT", Journal of Cognitive Human-

    Computer Interaction, 2021, DOI: https://doi.org/10.54216/JCHCI.010205.

    [17] Ajith Krishna R , Ankit Kumar , Vijay K, " An Automated Optimize Utilization of Water and Crop Monitoring

    in Agriculture Using IoT", Journal of Cognitive Human-Computer Interaction, 2021,

    https://doi.org/10.54216/JCHCI.010105.

    [18] Ashok Kumar M , Abirami A , Sindhu P , Ashok Kumar V D , Rani V, " Modern Medical Innovation on the

    Preferred Information about the Medicine using AI Technique", Journal of Cognitive Human-Computer

    Interaction, 2021, https://doi.org/10.54216/JCHCI.010102.

    [19] Mrs. K. Kiruthika , Ms. S. Gayathri , Ms. R. Hemalatha , Ms. P. Menaga, "Design and Development of Mobile

    Healthcare Application for ―Ayurvedic‖ based Clinical Documents", Journal of Cognitive Human-Computer

    Interaction, 2021, https://doi.org/10.54216/JCHCI.010103.

    [20] Vijay K, " Collaborating The Textual Reviews Of The Merchandise and Foretelling The Rating Supported

    Social Sentiment", Journal of Cognitive Human-Computer Interaction, 2021, DOI:

    https://doi.org/10.54216/JCHCI.010203.

    Cite This Article As :
    G, Nishanthi.. , , Yuvashree. , Jessinda, A,. , RSupraja., Supraja.. Personnel Monitoring System Using Mobile Application during the COVID 19. Journal of Cognitive Human-Computer Interaction, vol. , no. , 2022, pp. 40-49. DOI: https://doi.org/10.54216/JCHCI.020201
    G, N. , Y. Jessinda, A. RSupraja., S. (2022). Personnel Monitoring System Using Mobile Application during the COVID 19. Journal of Cognitive Human-Computer Interaction, (), 40-49. DOI: https://doi.org/10.54216/JCHCI.020201
    G, Nishanthi.. , Yuvashree. Jessinda, A,. RSupraja., Supraja.. Personnel Monitoring System Using Mobile Application during the COVID 19. Journal of Cognitive Human-Computer Interaction , no. (2022): 40-49. DOI: https://doi.org/10.54216/JCHCI.020201
    G, N. , , Y. , Jessinda, A. , RSupraja., S. (2022) . Personnel Monitoring System Using Mobile Application during the COVID 19. Journal of Cognitive Human-Computer Interaction , () , 40-49 . DOI: https://doi.org/10.54216/JCHCI.020201
    G N. , Y. , Jessinda A. , RSupraja. S. [2022]. Personnel Monitoring System Using Mobile Application during the COVID 19. Journal of Cognitive Human-Computer Interaction. (): 40-49. DOI: https://doi.org/10.54216/JCHCI.020201
    G, N. , Y. Jessinda, A. RSupraja., S. "Personnel Monitoring System Using Mobile Application during the COVID 19," Journal of Cognitive Human-Computer Interaction, vol. , no. , pp. 40-49, 2022. DOI: https://doi.org/10.54216/JCHCI.020201