Automatic Multimodal Affect Detection for Research and Clinical Use

Automatic Multimodal Affect Detection for Research and Clinical Use

The goal of this project is to extend current capabilities in automated multimodal measurement of affective behavior (visual, acoustic, and verbal) to develop and validate an automated system for detecting the constructs of Positive, Aggressive, and Dysphoric behavior and component lower-level affective behaviors and verbal content. For behavioral science, this automated coding of affective behavior from multimodal (visual, acoustic, and verbal) input will provide researchers with powerful tools to examine basic questions in emotion, psychopathology, and interpersonal processes. For clinical use, automated measurement will help clinicians to assess vulnerability and protective factors and response to treatment for a wide range of disorders.