MoodCapture: Depression Detection Using In-the-Wild Smartphone Images

arXiv:2402.16182v1 Announce Type: cross
Abstract: MoodCapture presents a novel approach that assesses depression based on images automatically captured from the front-facing camera of smartphones as people go about their daily lives. We collect over 125,000 photos in the wild from N=177 participants diagnosed with major depressive disorder for 90 days. Images are captured naturalistically while participants respond to the PHQ-8 depression survey question: \textit{``I have felt down, depressed, or hopeless''}. Our analysis explores important image attributes, such as angle, dominant …

abstract arxiv cs.cv cs.hc daily depression detection images major novel people photos smartphone smartphones type