The use of mobile, wearable, and Internet of Things (IoT) technologies fosters unique
opportunities for designing novel intelligent positive computing services that address various …

Zusammenfassung Hintergrund: In Deutschland sind etwa 4, 9 Millionen Menschen an
Depressionen erkrankt. Depressionen sind für die Betroffenen und die Gesellschaft mit …

Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the
scientific community and the industry. Driven by technological advances in sensing, wireless …

The objective of this study is to provide an overview over the ethical issues relevant to the
assessment, implementation, and use of smart-glasses. The purpose of the overview is to …

Under the vigorous development of global anticipatory computing in recent years, there
have been numerous applications of artificial intelligence (AI) in people's daily lives …

Abstract In recent years, Mobile Health (mHealth) innovations have emerged as a
transformative force in the realm of public health, revolutionizing the way healthcare is …

In this paper, we propose a mobile-based context-aware acute stress prediction system
(CASP) that predicts a user's stress status based on their current contextual data. The …

College students experience ever-increasing levels of stress, leading to a wide range of
health problems. In this context, monitoring and predicting students' stress levels is crucial …

There is an increasing interest in exploiting mobile sensing technologies and machine
learning techniques for mental health monitoring and intervention. Researchers have …

Summary Background: Approximately 4.9 million individuals in Germany are affected by
depression. Depression causes high personal and social burdens. Apps may improve …