Objective To review published empirical literature on the use of smartphone-based passive
sensing for health and wellbeing. Material and methods A systematic review of the English …

Background: Technological advancements, together with the decrease in both price and
size of a large variety of sensors, has expanded the role and capabilities of regular mobile …

Recent years have seen significant advances in the sensing capabilities of smartphones,
enabling them to collect rich contextual information such as location, device usage, and …

Background The assessment of behaviors related to mental health typically relies on self-
report data. Networked sensors embedded in smartphones can measure some behaviors …

Background Mobile phone sensor technology has great potential in providing behavioral
markers of mental health. However, this promise has not yet been brought to fruition …

Background Electronic mental health interventions for mood disorders have increased
rapidly over the past decade, most recently in the form of various systems and apps that are …

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 …

Objective: Optimal mental health care is dependent upon sensitive and early detection of
mental health problems. We have introduced a state-of-the-art method for the current study …

Background There is a critical need for real-time tracking of behavioral indicators of mental
disorders. Mobile sensing platforms that objectively and noninvasively collect, store, and …

Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …