The advancement and popularity of smartphones have made it an essential and all-purpose
device. But lack of advancement in battery technology has held back its optimum potential …

Experiencing continued growth in demand for mental health services among students,
colleges are seeking digital solutions to increase access to care as classes shift to remote …

This paper introduces a new model to identify collective abnormal human behaviors from
large pedestrian data in smart cities. To accurately solve the problem, several algorithms …

Many studies have used Digital Phenotyping of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …

With the near-ubiquitous presence of smartphones among urban dwellers in many parts of
the world, we are living in an age where the public can act as continuous sensors of urban …

Exploiting the capabilities of smartphones for monitoring social anxiety shows promise for
advancing our ability to both identify indicators of and treat social anxiety in natural settings …

Background Digital phenotyping is a promising methodology for capturing moment-to-
moment data that can inform individually adapted and timely interventions for youths with …

Early detection of influenza-like symptoms can prevent widespread flu viruses and enable
timely treatments, particularly in the post-pandemic era. Mobile sensing leverages an …

Mental health issues can lead to serious consequences like depression, self-mutilation, and
worse, especially for university students who are not physically and mentally mature. Not all …

Mobile apps are touted as helpful tools to track and treat mental health difficulties. Growth in
this area is particularly relevant for youth and young adults given the pervasive integration of …