Literature DB >> 27453895

Cross-Cultural Detection of Depression from Nonverbal Behaviour.

Sharifa Alghowinem1, Roland Goecke2, Jeffrey F Cohn3, Michael Wagner2, Gordon Parker4, Michael Breakspear5.   

Abstract

Millions of people worldwide suffer from depression. Do commonalities exist in their nonverbal behavior that would enable cross-culturally viable screening and assessment of severity? We investigated the generalisability of an approach to detect depression severity cross-culturally using video-recorded clinical interviews from Australia, the USA and Germany. The material varied in type of interview, subtypes of depression and inclusion healthy control subjects, cultural background, and recording environment. The analysis focussed on temporal features of participants' eye gaze and head pose. Several approaches to training and testing within and between datasets were evaluated. The strongest results were found for training across all datasets and testing across datasets using leave-one-subject-out cross-validation. In contrast, generalisability was attenuated when training on only one or two of the three datasets and testing on subjects from the dataset(s) not used in training. These findings highlight the importance of using training data exhibiting the expected range of variability.

Entities:  

Year:  2015        PMID: 27453895      PMCID: PMC4955623          DOI: 10.1109/FG.2015.7163113

Source DB:  PubMed          Journal:  IEEE Int Conf Autom Face Gesture Recognit Workshops        ISSN: 2326-5396


  11 in total

Review 1.  Depressive disorders from a transcultural perspective.

Authors:  K Singer
Journal:  Soc Sci Med       Date:  1975-06       Impact factor: 4.634

Review 2.  A survey of affect recognition methods: audio, visual, and spontaneous expressions.

Authors:  Zhihong Zeng; Maja Pantic; Glenn I Roisman; Thomas S Huang
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2009-01       Impact factor: 6.226

3.  Video-based detection of the clinical depression in adolescents.

Authors:  Namunu C Maddage; Rajinda Senaratne; Lu-Shih Alex Low; Margaret Lech; Nicholas Allen
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

4.  Sex differences in unipolar depression: evidence and theory.

Authors:  S Nolen-Hoeksema
Journal:  Psychol Bull       Date:  1987-03       Impact factor: 17.737

5.  Detecting Depression Severity from Vocal Prosody.

Authors:  Ying Yang; Catherine Fairbairn; Jeffrey F Cohn
Journal:  IEEE Trans Affect Comput       Date:  2013-07-11       Impact factor: 10.506

6.  Acoustical properties of speech as indicators of depression and suicidal risk.

Authors:  D J France; R G Shiavi; S Silverman; M Silverman; D M Wilkes
Journal:  IEEE Trans Biomed Eng       Date:  2000-07       Impact factor: 4.538

7.  Comparison of Beck Depression Inventories -IA and -II in psychiatric outpatients.

Authors:  A T Beck; R A Steer; R Ball; W Ranieri
Journal:  J Pers Assess       Date:  1996-12

8.  The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression.

Authors:  A John Rush; Madhukar H Trivedi; Hicham M Ibrahim; Thomas J Carmody; Bruce Arnow; Daniel N Klein; John C Markowitz; Philip T Ninan; Susan Kornstein; Rachel Manber; Michael E Thase; James H Kocsis; Martin B Keller
Journal:  Biol Psychiatry       Date:  2003-09-01       Impact factor: 13.382

9.  Investigation of vocal jitter and glottal flow spectrum as possible cues for depression and near-term suicidal risk.

Authors:  Asli Ozdas; Richard G Shiavi; Stephen E Silverman; Marilyn K Silverman; D Mitchell Wilkes
Journal:  IEEE Trans Biomed Eng       Date:  2004-09       Impact factor: 4.538

10.  Depressive symptoms and associated psychopathology in urban adolescents: a cross-cultural study of three countries.

Authors:  Vladislav Ruchkin; Denis G Sukhodolsky; Robert Vermeiren; Roman A Koposov; Mary Schwab-Stone
Journal:  J Nerv Ment Dis       Date:  2006-02       Impact factor: 2.254

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  5 in total

1.  Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding.

Authors:  Hamdi Dibeklioglu; Zakia Hammal; Jeffrey F Cohn
Journal:  IEEE J Biomed Health Inform       Date:  2017-03-02       Impact factor: 5.772

2.  Disclosing Critical Voice Features for Discriminating between Depression and Insomnia-A Preliminary Study for Developing a Quantitative Method.

Authors:  Ray F Lin; Ting-Kai Leung; Yung-Ping Liu; Kai-Rong Hu
Journal:  Healthcare (Basel)       Date:  2022-05-18

3.  Acoustic and Facial Features From Clinical Interviews for Machine Learning-Based Psychiatric Diagnosis: Algorithm Development.

Authors:  Michael L Birnbaum; Avner Abrami; John M Kane; Guillermo Cecchi; Stephen Heisig; Asra Ali; Elizabeth Arenare; Carla Agurto; Nathaniel Lu
Journal:  JMIR Ment Health       Date:  2022-01-24

4.  Quantifying dynamic facial expressions under naturalistic conditions.

Authors:  Jayson Jeganathan; Megan Campbell; Matthew Hyett; Gordon Parker; Michael Breakspear
Journal:  Elife       Date:  2022-08-31       Impact factor: 8.713

5.  Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT).

Authors:  Behnoush Behnia; Isabel Dziobek; Hanna Drimalla; Tobias Scheffer; Niels Landwehr; Irina Baskow; Stefan Roepke
Journal:  NPJ Digit Med       Date:  2020-02-28
  5 in total

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