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.
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