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Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses · Study

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Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses

Jeffrey M. Girard, Jeffrey F. Cohn, Mohammad H. Mahoor, S. Mohammad Mavadati, Zakia Hammal, Dean P. Rosenwald

2013-12-15articleImage and Vision Computing255 citationsgreen

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Emotion and Mood Recognition Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes Face Recognition and Perception

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Stored only when both papers are in the corpus — 255 citations exist upstream.

References

2013Diagnostic and Statistical Manual of Mental Disorders

1960A Coefficient of Agreement for Nominal Scales

1979Intraclass correlations: Uses in assessing rater reliability.

2006Projections of Global Mortality and Burden of Disease from 2002 to 2030

1967Development of a Rating Scale for Primary Depressive Illness

1991Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications.

2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions

2024Diagnostic and Statistical Manual of Mental Disorders

Cited by

2021Deep learning for depression recognition with audiovisual cues: A review

2017Automatic Assessment of Depression Based on Visual Cues: A Systematic Review

2017Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding

2020Automatic depression recognition using CNN with attention mechanism from videos

2018Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features

2020Spectral Representation of Behaviour Primitives for Depression Analysis

2016Decision Tree Based Depression Classification from Audio Video and Language Information

2015Automated Depression Diagnosis Based on Facial Dynamic Analysis and Sparse Coding

Details

Year2013

Typearticle

VenueImage and Vision Computing

Languageen

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Identifiers

doi10.1016/j.imavis.2013.12.007

openalex_workW2096976598

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