A Multimodal Dataset and Evaluation for Feature Estimators of Temporal Phases of Anxiety

Abstract

Vicious cycles of anxiety responses underlie the onset of increasingly prevalent and highly impairing anxiety disorders and also contribute to their maintenance. Our goal is to evaluate whether different anxiety responses are evident in temporal patterns of physiological and behavioral features. Consequently, we established a rich multimodal-multisensor dataset of cardiac, electrodermal, movement, posture, and speech measures from 95 young adults during two anxiety experiments that induce social anxiety and bug-phobic anxiety. A subset of this dataset is publicly available at "Anxiety Phases Dataset"Figshare repository. We adopted a generalized mixed model approach and found that 10 out of 1..