Monitoring mental health of Sri Lankan youngsters during COVID 19 with passive mobile sensing

Abstract

Smartphones are the key things that offer the collection of behavioral data without knowing the users because it is the most closest and frequently used accessory of daily life. The youngsters in Sri Lanka who are suffering from mental illnesses are not aware of their disease as well as the symptoms. In this article, our main aim is to monitor the behavior of the young people in Sri Lanka at the time of COVID 19, and come up with an analysis of the mental health status and about the symptoms of mental disorders that they are showing. Data can be collected in various ways like, from the default sensors and questioners. Mobile phone usage patterns like the duration of time spent at various locations are the factors that may provide evidence for their behavior. In addition, the daily activities like physical activity and sleep are also affected by these defined mental disorders in this pandemic time. We hope that we could provide the sufficient remedies for those who suffer from mental disorders during COVID 19 with the use of data collected through the sensors and surveys. We ensure the security features when receiving the sensitive data. We think through smartphone sensing, we could contribute to avoiding obstacles in behavioral studies specially in the area of mental health detection.