  The Self-Rating Depression Scale (SDS) questionnaire is commonly utilized for
effective depression preliminary screening. The uncontrolled self-administered
measure, on the other hand, maybe readily influenced by insouciant or dishonest
responses, yielding different findings from the clinician-administered
diagnostic. Facial expression (FE) and behaviors are important in
clinician-administered assessments, but they are underappreciated in
self-administered evaluations. We use a new dataset of 200 participants to
demonstrate the validity of self-rating questionnaires and their accompanying
question-by-question video recordings in this study. We offer an end-to-end
system to handle the face video recording that is conditioned on the
questionnaire answers and the responding time to automatically interpret
sadness from the SDS assessment and the associated video. We modified a 3D-CNN
for temporal feature extraction and compared various state-of-the-art temporal
modeling techniques. The superior performance of our system shows the validity
of combining facial video recording with the SDS score for more accurate
self-diagnose.
