AI-Biometric-Driven Smartphone App for Strict Post-COVID Home Quarantine Management

Abstract

has been announced as a Global Communal Health Extremity by WHO on January 2020. Meaningful preventive solutions have been taken with smartphone selfie/geofencing apps toward managing mandatory home quarantine and physical distancing. In the post-COVID world, fast screening and strict quarantine can play a crucial role in bringing back normality. Quarantine being offered at home can be a comfortable solution for both government and patients. On the other hand, it can be hazardous if not strictly followed and adequately realized. However, the existing geofencing/face selfie apps take static photographs and location data at certain time intervals that can allow patients to violate the rules between those periods, thus failing to ensure active user identity. To realize unbreached home quarantine policies, this article introduces a CUBA-HQM smartphone app that performs continuous user biometric authentication (CUBA) augmented with geofencing using AI technology. The purpose of continuous tracking is to strictly control the spread of infectious diseases in society by monitoring the individual move in/out in the quarantine zone.

Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments

“…Although AI contributes significantly in all phases of the EDLC, geo-fencing of a certain area to contain the spread of COVID is one of the most useful applications. In geo-fencing, people of certain areas are put under home quarantine, and later they are monitored whether they are within the geo-fenced area or not using AI [56,57]. The example of a geo-fenced area (also referred as hotspot) with a dotted line is shown in Figure 8.…”

SIMONIC: IoT Based Quarantine Monitoring System for Covid-19

“…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, such as in [2]- [3]. Prior works have proposed different monitoring systems to assist the monitoring of individuals in quarantines [4]- [5], as well as many methods, are offered for social distancing and contact tracing [6]- [10]. These methods focus on one function to provide a reliable system.…”

“…Previous proposed individual monitoring systems for COVID-19 quarantine can be classified into three categories based on the supporting components. There are smartphone-based [4], wristband global positioning system (GPS) [11], wristband connected to a smartphone [5], [12]. Each monitoring system mentioned has different capabilities, with the drawbacks and benefits associated according to the usage of its supporting components.…”

“…Geofencing is the technology used for many purposes such as for activity recognition for dementia/Alzheimer patients [13]- [14], road safety [15], HIV transmission prevention [16], and also researcher implements it for quarantine monitoring movement of COVID-19 patients [4]- [5], [12]. Signature learning technology can learn the shape of the room by performing a learning process in the quarantine procedure is first carried out in [5].…”

“…Research that developed an application to create geofences based on GPS readings can be found in [13]. Study about GPS-based use for the geofence process and supported by AI (Artificial Intelligence) for face recognition can be found in [4]. Lastly, the application is able to send notifications when the patient/user exits the pinpoint as far as 100 m and above is studied in [12].…”