Using camera and sensor technology to measure depression severity

This study is testing new computer vision and sensor technology to objectively measure depression severity in patients hospitalized for severe depression. Instead of relying only on how patients report their symptoms, researchers will use cameras, microphones, and wearable devices to capture measurable signs of depression — like facial expressions, body movement, speech patterns, and physical responses. The goal is to help doctors diagnose and track depression more accurately.

Current methods of diagnosing depression rely heavily on what patients tell their doctors, which can be subjective and sometimes miss important signs. This study aims to develop objective, technology-based tools that can measure depression more precisely and consistently, potentially improving diagnosis and treatment decisions.