Literature DB >> 31745390

Automated Measurement of Head Movement Synchrony during Dyadic Depression Severity Interviews.

Shalini Bhatia1, Roland Goecke1, Zakia Hammal2, Jeffrey F Cohn3.   

Abstract

With few exceptions, most research in automated assessment of depression has considered only the patient's behavior to the exclusion of the therapist's behavior. We investigated the interpersonal coordination (synchrony) of head movement during patient-therapist clinical interviews. Our sample consisted of patients diagnosed with major depressive disorder. They were recorded in clinical interviews (Hamilton Rating Scale for Depression, HRSD) at 7-week intervals over a period of 21 weeks. For each session, patient and therapist 3D head movement was tracked from 2D videos. Head angles in the horizontal (pitch) and vertical (yaw) axes were used to measure head movement. Interpersonal coordination of head movement between patients and therapists was measured using windowed cross-correlation. Patterns of coordination in head movement were investigated using the peak picking algorithm. Changes in head movement coordination over the course of treatment were measured using a hierarchical linear model (HLM). The results indicated a strong effect for patient-therapist head movement synchrony. Within-dyad variability in head movement coordination was found to be higher than between-dyad variability, meaning that differences over time in a dyad were higher as compared to the differences between dyads. Head movement synchrony did not change over the course of treatment with change in depression severity. To the best of our knowledge, this study is the first attempt to analyze the mutual influence of patient-therapist head movement in relation to depression severity.

Entities:  

Year:  2019        PMID: 31745390      PMCID: PMC6863512          DOI: 10.1109/FG.2019.8756509

Source DB:  PubMed          Journal:  Proc Int Conf Autom Face Gesture Recognit        ISSN: 1541-5058


  20 in total

1.  Motor and cognitive aspects of motor retardation in depression.

Authors:  M P Caligiuri; J Ellwanger
Journal:  J Affect Disord       Date:  2000 Jan-Mar       Impact factor: 4.839

2.  Temporal representations of odors in an olfactory network.

Authors:  G Laurent; M Wehr; H Davidowitz
Journal:  J Neurosci       Date:  1996-06-15       Impact factor: 6.167

3.  Automated Audiovisual Depression Analysis.

Authors:  Jeffrey M Girard; Jeffrey F Cohn
Journal:  Curr Opin Psychol       Date:  2015-08

4.  Social Risk and Depression: Evidence from Manual and Automatic Facial Expression Analysis.

Authors:  Jeffrey M Girard; Jeffrey F Cohn; Mohammad H Mahoor; Seyedmohammad Mavadati; Dean P Rosenwald
Journal:  Proc Int Conf Autom Face Gesture Recognit       Date:  2013

5.  Random-effects models for longitudinal data.

Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

6.  Nonverbal Social Withdrawal in Depression: Evidence from manual and automatic analysis.

Authors:  Jeffrey M Girard; Jeffrey F Cohn; Mohammad H Mahoor; S Mohammad Mavadati; Zakia Hammal; Dean P Rosenwald
Journal:  Image Vis Comput       Date:  2014-10       Impact factor: 2.818

7.  Spontaneous facial expression in unscripted social interactions can be measured automatically.

Authors:  Jeffrey M Girard; Jeffrey F Cohn; Laszlo A Jeni; Michael A Sayette; Fernando De la Torre
Journal:  Behav Res Methods       Date:  2015-12

Review 8.  Antidepressant drug effects and depression severity: a patient-level meta-analysis.

Authors:  Jay C Fournier; Robert J DeRubeis; Steven D Hollon; Sona Dimidjian; Jay D Amsterdam; Richard C Shelton; Jan Fawcett
Journal:  JAMA       Date:  2010-01-06       Impact factor: 56.272

9.  Automated Measurement of Facial Expression in Infant-Mother Interaction: A Pilot Study.

Authors:  Daniel S Messinger; Mohammad H Mahoor; Sy-Miin Chow; Jeffrey F Cohn
Journal:  Infancy       Date:  2009-05-01

10.  Dense 3D Face Alignment from 2D Videos in Real-Time.

Authors:  László A Jeni; Jeffrey F Cohn; Takeo Kanade
Journal:  IEEE Int Conf Autom Face Gesture Recognit Workshops       Date:  2015-05
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