Researchers at the University of California, Irvine have developed a multimodal, bioelectronic wrist-worn device for ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: Incidents involving high-risk patient behaviors remain a critical challenge in medical institutions. While advancements in sensor technology and artificial intelligence (AI) have shown ...

Abstract: During the COVID-19 pandemic, the need for contactless monitoring of people became very clear. To prevent the spread of the virus, physical interactions were minimized. As a result, many ...