Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …

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 …

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 …

Speech emotion recognition is a challenging task and heavily depends on hand-engineered
acoustic features, which are typically crafted to echo human perception of speech signals …

Background Digital phenotyping is the use of data from smartphones and wearables
collected in situ for capturing a digital expression of human behaviors. Digital phenotyping …

In this paper, we show that convolutional neural networks can be directly applied to temporal
low-level acoustic features to identify emotionally salient regions without the need for …

Automatic speech emotion recognition provides computers with critical context to enable
user understanding. While methods trained and tested within the same dataset have been …

It has recently been reported that identifying the depression severity of a person requires
involvement of mental health professionals who use traditional methods like interviews and …

Social impairment is a cardinal feature of schizophrenia spectrum disorders (SZ). Smaller
social network size, diminished social skills, and loneliness are highly prevalent. Existing …

In 2001, the WHO stated that:“The use of mobile and wireless technologies to support the
achievement of health objectives (mHealth) has the potential to transform the face of health …