Background: Depression and anxiety are leading causes of disability worldwide but often
remain undetected and untreated. Smartphone and wearable devices may offer a unique …

Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …

Humans are considered to be the most intelligent species on the mother earth and are
inherently more health conscious. Since Centuries mankind has discovered various proven …

Deep learning has revolutionized predictive modeling in topics such as computer vision and
natural language processing but is not commonly applied to psychological data. In an effort …

Just-in-time adaptive interventions (JITAIs), typically smartphone apps, learn to deliver
therapeutic content when users need it. The challenge is to “push” content at algorithmically …

With the growing interest in smart home environments and in providing seamless
interactions with various smart devices, robust and reliable human activity recognition (HAR) …

Recent efforts to predict stress in the wild using mobile technology have increased; however,
the field lacks a common pipeline for assessing the impact of factors such as label encoding …

Ubiquitous progress in wearable sensing and mobile computing technologies, alongside
growing diversity in sensor modalities, has created new pathways for the collection of health …

Experience sampling has long been the established method to sample people's mood in
order to assess their mental state. Smartphones start to be used as experience sampling …

Recent advances in deep-learning-based applications have attracted a growing attention
from the IoT community. These highly capable learning models have shown significant …