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Facial geometry and speech analysis for depression detection

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References

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2014COVAREP — A collaborative voice analysis repository for speech technologies685 cited
2014The Distress Analysis Interview Corpus of human and computer interviews591 cited
2016AVEC 2016505 cited
2014AVEC 2014475 cited
2013Eye movement analysis for depression detection165 cited
1989Nonverbal communication in depression141 cited
2016Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text106 cited
2014Model Fusion for Multimodal Depression Classification and Level Detection80 cited

Cited by

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2024A Multimodal Approach for Detection and Assessment of Depression Using Text, Audio and Video53 cited
2023Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer50 cited
2019A computer vision based image processing system for depression detection among students for counseling34 cited

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2022Acoustic and Facial Features From Clinical Interviews for Machine Learning–Based Psychiatric Diagnosis: Algorithm Development33 cited

2022Distinguishing apathy and depression in older adults with mild cognitive impairment using text, audio, and video based on multiclass classification and shapely additive explanations31 cited

2022UNWIND – A Mobile Application that Provides Emotional Support for Working Women2 cited