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

no code implementations • 25 Feb 2024 • Subigya Nepal, Arvind Pillai, Weichen Wang, Tess Griffin, Amanda C. Collins, Michael Heinz, Damien Lekkas, Shayan Mirjafari, Matthew Nemesure, George Price, Nicholas C. Jacobson, Andrew T. Campbell

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.

Depression Detection Feature Importance

Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations

no code implementations • 20 Apr 2023 • Shayan Mirjafari, Subigya Nepal, Weichen Wang, Andrew T. Campbell

We then experiment with how predictive these linguistic and contextual cues from the audio diary and mobile sensing data are of an auditory verbal hallucination event.

Hallucination Transfer Learning

Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being

no code implementations • 10 Jun 2020 • Pablo Robles-Granda, Suwen Lin, Xian Wu, Sidney D'Mello, Gonzalo J. Martinez, Koustuv Saha, Kari Nies, Gloria Mark, Andrew T. Campbell, Munmun De Choudhury, Anind D. Dey, Julie Gregg, Ted Grover, Stephen M. Mattingly, Shayan Mirjafari, Edward Moskal, Aaron Striegel, Nitesh V. Chawla

In this paper, we create a benchmark for predictive analysis of individuals from a perspective that integrates: physical and physiological behavior, psychological states and traits, and job performance.