Recently, inferring the state of people's mental health via passive mobile sensing has
attracted significant attention. Previous studies have used the self-assessed stress levels as …

Developing the capability to continuously and noninvasively monitor the mental health
status of individuals is a critical focus in the mHealth domain. The use of passively …

Mental stress is a critical factor affecting one's physical and mental well-being. At the early
stage, the effect of stress is often underestimated, while it usually leads to serious issue …

Depression is the most common mental disorder and is negatively impactful to individuals
and their social networks. Passive sensing of behavior via smartphones may help detect …

Remarkable advances in smartphone technology, especially in terms of passive sensing,
have enabled researchers to passively monitor user behavior in real-time and at a …

Momentary experiences of positive and negative emotionality---also referred to as state
affect---are core components of well-being and performance. The ability to unobtrusively …

Measuring mental well-being with mobile sensing has been an increasingly active research
topic. Pervasiveness of smartphones combined with the convenience of mobile app …

Monitoring mental health has received considerable attention as a countermeasure against
the increasing occurrence of mental illness worldwide. However, current monitoring services …

Stress condition, if experienced for an extended amount of time, can negatively affect
individual's health. Several external sensors monitoring different physiological states …

This study predicts the change of stress levels using real-world and online behavioral
features extracted from smartphone log information. Previous studies of stress detection …