Acquisition and Analysis of Relationships Between Longitudinal Emotional Signals Produced by an Artificial Intelligence Algorithm and Self-questionnaires Used in the Psychiatric Follow-up of Patients With Mood and/or Anxiety Disorders: a Real-Environment Study.

Using the tool developed by Emobot, EMOACQ-1 is a study that passively and non-interventionaly collects data by capturing patients' facial expressions throughout the day, and then measures the correlation between emotional signals and the results of measurement questionnaires used in psychiatry.