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 …

Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …

Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …

Mental illness, whether it is medically diagnosed or undiagnosed, affects a large proportion
of the population. It is one of the causes of extensive disability, and f not properly treated, it …

Wearable systems for monitoring biological signals have opened the door to personalized
healthcare and have advanced a great deal over the past decade with the development of …

Mental illness is becoming a major plague in modern societies and poses challenges to the
capacity of current public health systems worldwide. With the widespread adoption of social …

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 …

Determining the stress level of a subject in real time could be of special interest in certain
professional activities to allow the monitoring of soldiers, pilots, emergency personnel and …

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 …

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 …