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FacePsy: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings
16 references·0 citing·46 second hop
FacePsy: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings (2024)FacePsy: An Open-Source Affective Mobile …Visually Interpretable Representation Learning for Depression Recognition from Facial Images (2018)Visually Interpretable Repres…Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions (2017)Artificial Intelligent System…StudentLife (2014)StudentLifeIn situ with bystanders of augmented reality glasses (2014)In situ with bystanders of au…AVEC 2014 (2014)AVEC 2014Social risk and depression: Evidence from manual and automatic facial expression analysis (2013)Social risk and depression: E…AVEC 2013 (2013)AVEC 2013I've got 99 problems, but vibration ain't one (2012)I've got 99 problems, but vib…Detecting depression from facial actions and vocal prosody (2009)Detecting depression from fac…A "nutrition label" for privacy (2009)A "nutrition label" for priva…Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis (2007)Screening for Depression in M…Toward an affect-sensitive multimodal human-computer interaction (2003)Toward an affect-sensitive mu…Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life (2003)Emotions Revealed: Recognizin…The PHQ-9 (2001)The PHQ-9Diminished response to pleasant stimuli by depressed women. (2001)Diminished response to pleasa…An analysis of the “eveningness–morningness” dimension in “depressive” college students (1999)An analysis of the “eveningne…Development of a Rating Scale for Primary Depressive Illness (1967)Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)Affective Computing (1997)AVEC 2016 (2016)EEG Based Emotion Recognition: A Tutorial and Review (2022)The platform for privacy preferences (1999)Expectation and purpose (2012)On the Opportunities and Risks of Foundation Models (2021)Six Human-Centered Artificial Intelligence Grand Challenges (2023)Bias in meta-analysis detected by a simple, graphical test (1997)Measuring inconsistency in meta-analyses (2003)The PHQ-8 as a measure of current depression in the general population (2008)A 4-item measure of depression and anxiety: Validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population (2009)The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review (2010)An Inventory for Measuring Depression (1961)A New Depression Scale Designed to be Sensitive to Change (1979)Validation and Utility of a Self-report Version of PRIME-MD The PHQ Primary Care Study (1999)The PHQ-9: A New Depression Diagnostic and Severity Measure (2002)The Patient Health Questionnaire-2 (2003)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)A Global Measure of Perceived Stress (1983)Development and validation of brief measures of positive and negative affect: The PANAS scales. 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References

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  • 2003Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life1,600 cited
  • 2007Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis1,290 cited
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  • 2009Detecting depression from facial actions and vocal prosody494 cited
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  • 2014AVEC 2014475 cited
  • 2018Visually Interpretable Representation Learning for Depression Recognition from Facial Images273 cited
  • 2012I've got 99 problems, but vibration ain't one260 cited
  • 1999An analysis of the “eveningness–morningness” dimension in “depressive” college students243 cited
  • 2001Diminished response to pleasant stimuli by depressed women.229 cited
  • 2014In situ with bystanders of augmented reality glasses228 cited
  • 2017Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions219 cited
  • 2013

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Social risk and depression: Evidence from manual and automatic facial expression analysis
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