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Can body expressions contribute to automatic depression analysis?

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References

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2011Emotion recognition using PHOG and LPQ features221 cited
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1989Nonverbal communication in depression141 cited

Cited by

2018Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architectures119 cited
2018Automatic Depression Analysis Using Dynamic Facial Appearance Descriptor and Dirichlet Process Fisher Encoding113 cited
2017Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions92 cited
2023

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Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review

90 cited

2015Multimodal Detection of Depression in Clinical Interviews87 cited

2015Cross-cultural detection of depression from nonverbal behaviour79 cited

2017A Cross-modal Review of Indicators for Depression Detection Systems70 cited

2015A temporally piece-wise fisher vector approach for depression analysis67 cited

2018Detecting Depression Severity by Interpretable Representations of Motion Dynamics64 cited

2015Multimodal depression recognition with dynamic visual and audio cues63 cited

2015Automated audiovisual depression analysis62 cited

2018Facial expression video analysis for depression detection in Chinese patients59 cited

2019Multiple Instance Learning for Emotion Recognition Using Physiological Signals58 cited

2024Two-Stage Temporal Modelling Framework for Video-Based Depression Recognition Using Graph Representation55 cited

2018Multimodal assessment of depression from behavioral signals55 cited

2019Encoding Visual Behaviors with Attentive Temporal Convolution for Depression Prediction54 cited