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Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions
16 references·16 citing·46 second hopsampled
Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions (2014)Multimodal Prediction of Affective Dimens…AVEC 2014 (2014)AVEC 2014Vocal biomarkers of depression based on motor incoordination (2013)Vocal biomarkers of depressio…Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses (2013)Nonverbal social withdrawal i…Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (2013)Diagnostic and Statistical Ma…Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Ma…Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010 (2013)Burden of Depressive Disorder…Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language (2013)Behavioral Signal Processing:…Vocal Acoustic Biomarkers of Depression Severity and Treatment Response (2012)Vocal Acoustic Biomarkers of …Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing (2011)Bridging the Gap between Soci…Automated Facial Action Coding System for dynamic analysis of facial expressions in neuropsychiatric disorders (2011)Automated Facial Action Codin…An investigation of depressed speech detection: features and normalization (2011)An investigation of depressed…Diagnostic and Statistical Manual of Mental Disorders (2009)Diagnostic and Statistical Ma…Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech (2007)Critical Analysis of the Impa…Investigation of Vocal Jitter and Glottal Flow Spectrum as Possible Cues for Depression and Near-Term Suicidal Risk (2004)Investigation of Vocal Jitter…Acoustical properties of speech as indicators of depression and suicidal risk (2000)Acoustical properties of spee…Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)Comparison of Beck Depression…The voice of depression: speech features as biomarkers for major depressive disorder (2024)The voice of depression: spee…Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns (2024)Multimodal Mental Health Digi…Integrating Deep Facial Priors Into Landmarks for Privacy Preserving Multimodal Depression Recognition (2023)Integrating Deep Facial Prior…MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection (2022)MS²-GNN: Exploring GNN-Based …Challenges for Artificial Intelligence in Recognizing Mental Disorders (2022)Challenges for Artificial Int…Deep Neural Networks for Depression Recognition Based on 2D and 3D Facial Expressions Under Emotional Stimulus Tasks (2021)Deep Neural Networks for Depr…Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning (2020)Facial Depression Recognition…Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions (2020)Classifying Major Depressive …Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network (2019)Speech Emotion Recognition wi…Acoustic differences between healthy and depressed people: a cross-situation study (2019)Acoustic differences between …Automatic Depression Analysis Using Dynamic Facial Appearance Descriptor and Dirichlet Process Fisher Encoding (2018)Automatic Depression Analysis…Hybrid Depression Classification and Estimation from Audio Video and Text Information (2017)Hybrid Depression Classificat…Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text (2016)Depression Assessment by Fusi…Multimodal depression recognition with dynamic visual and audio cues (2015)Multimodal depression recogni…Automated audiovisual depression analysis (2015)Automated audiovisual depress…A temporally piece-wise fisher vector approach for depression analysis (2015)A temporally piece-wise fishe…Politeness : Some Universals in Language Usage (1987)Politeness (1987)THE MIRROR-NEURON SYSTEM (2004)Toward understanding social cues and signals in human–robot interaction: effects of robot gaze and proxemic behavior (2013)Evaluating the Engagement with Social Robots (2015)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. 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References

  • 2013Diagnostic and Statistical Manual of Mental Disorders109,522 cited
  • 2009Diagnostic and Statistical Manual of Mental Disorders10,169 cited
  • 1996Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients5,962 cited
  • 2013Diagnostic and Statistical Manual of Mental Disorders, 5th Edition4,383 cited
  • 2013Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 20103,115 cited
  • 2000Acoustical properties of speech as indicators of depression and suicidal risk504 cited
  • 2014AVEC 2014475 cited
  • 2011Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing381 cited
  • 2012Vocal Acoustic Biomarkers of Depression Severity and Treatment Response324 cited
  • 2013Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language294 cited
  • 2011Automated Facial Action Coding System for dynamic analysis of facial expressions in neuropsychiatric disorders288 cited
  • 2013Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses255 cited
  • 2007Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech220 cited
  • 2004Investigation of Vocal Jitter and Glottal Flow Spectrum as Possible Cues for Depression and Near-Term Suicidal Risk

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204 cited
  • 2013Vocal biomarkers of depression based on motor incoordination189 cited
  • 2011An investigation of depressed speech detection: features and normalization188 cited
  • Cited by

    • 2018Automatic Depression Analysis Using Dynamic Facial Appearance Descriptor and Dirichlet Process Fisher Encoding113 cited
    • 2022MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection107 cited
    • 2016Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text106 cited
    • 2017Hybrid Depression Classification and Estimation from Audio Video and Text Information98 cited
    • 2019Acoustic differences between healthy and depressed people: a cross-situation study98 cited
    • 2024The voice of depression: speech features as biomarkers for major depressive disorder95 cited
    • 2019Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network84 cited
    • 2020Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning80 cited
    • 2022Challenges for Artificial Intelligence in Recognizing Mental Disorders71 cited
    • 2021Deep Neural Networks for Depression Recognition Based on 2D and 3D Facial Expressions Under Emotional Stimulus Tasks70 cited
    • 2015A temporally piece-wise fisher vector approach for depression analysis67 cited
    • 2015Multimodal depression recognition with dynamic visual and audio cues63 cited
    • 2015Automated audiovisual depression analysis62 cited
    • 2020Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions60 cited
    • 2023Integrating Deep Facial Priors Into Landmarks for Privacy Preserving Multimodal Depression Recognition59 cited
    • 2024Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns58 cited