Automatic behavior descriptors for psychological disorder analysis

The PHQ-9: Validity of a brief depression severity measure

Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910 · see citing works

Untitled work

(1970) · Cited by 24,983 · see citing works

An inventory for measuring clinical anxiety: Psychometric properties.

Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.56.6.893 · Cited by 14,407 · see citing works

The PHQ-9: A New Depression Diagnostic and Severity Measure

Kroenke, K., & Spitzer, R. L. (2002) · Psychiatric Annals · doi:10.3928/0048-5713-20020901-06 · Cited by 5,898 · see citing works

Distribution Theory for Glass's Estimator of Effect Size and Related Estimators

Hedges, L. V. (1981) · Journal of Educational Statistics · doi:10.2307/1164588 · Cited by 5,695 · see citing works

Psychometric properties of the PTSD checklist (PCL)

Blanchard, E. B., Jones-Alexander, J., Buckley, T. C., & Forneris, C. A. (1996) · Behaviour Research and Therapy · doi:10.1016/0005-7967(96)00033-2 · Cited by 3,997 · see citing works

The Repertoire of Nonverbal Behavior: Categories, Origins, Usage, and Coding

EKMAN, P., & FRIESEN, W. V. (1969) · Semiotica · doi:10.1515/semi.1969.1.1.49 · Cited by 3,316 · see citing works

Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant.

Russell, J. A., & Barrett, L. F. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.5.805 · Cited by 3,121 · see citing works

A meta-analysis of emotional reactivity in major depressive disorder

Bylsma, L. M., Morris, B. H., & Rottenberg, J. (2008) · Clinical Psychology Review · doi:10.1016/j.cpr.2007.10.001 · Cited by 933 · see citing works

The State--Trait Anxiety Inventory, Trait version: structure and content re-examined

Bieling, P. J., Antony, M. M., & Swinson, R. P. (1998) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(98)00023-0 · Cited by 690 · see citing works

Coding gestural behavior with the NEUROGES-ELAN system

Lausberg, H., & Sloetjes, H. (2009) · Behavior Research Methods · doi:10.3758/brm.41.3.841 · Cited by 607 · see citing works

Detecting depression from facial actions and vocal prosody

Cohn, J. F., Kruez, T. S., Matthews, I., Yang, Y., Nguyen, M. H., Padilla, M. T., Zhou, F., & De la Torre, F. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops · doi:10.1109/acii.2009.5349358 · Cited by 494 · see citing works

Prevalence of Depression–PTSD Comorbidity: Implications for Clinical Practice Guidelines and Primary Care-based Interventions

Campbell, D. G., Felker, B. L., Liu, C.-F., Yano, E. M., Kirchner, J. E., Chan, D., Rubenstein, L. V., & Chaney, E. F. (2007) · Journal of General Internal Medicine · doi:10.1007/s11606-006-0101-4 · Cited by 458 · cited 1× · see citing works

Agreement and Information in the Reliability of Coding

Krippendorff, K. (2011) · Communication Methods and Measures · doi:10.1080/19312458.2011.568376 · Cited by 451 · see citing works

3D Constrained Local Model for rigid and non-rigid facial tracking

Baltrušaitis, T., Robinson, P., & Morency, L. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247980 · Cited by 320 · see citing works

Toward Practical Smile Detection

Whitehill, J., Littlewort, G. C., Fasel, I., Bartlett, M. S., & Movellan, J. R. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.42 · Cited by 310 · see citing works

Nonverbal behavior in clinician—patient interaction

Hall, J. A., Harrigan, J. A., & Rosenthal, R. (1995) · Applied and Preventive Psychology · doi:10.1016/s0962-1849(05)80049-6 · Cited by 309 · see citing works

Testing whether posttraumatic stress disorder and major depressive disorder are similar or unique constructs

Elhai, J. D., Carvalho, L. D. F., Miguel, F. K., Palmieri, P. A., Primi, R., & Frueh, B. C. (2010) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2010.11.003 · Cited by 115 · see citing works

Nonverbal cues for depression.

Waxer, P. H. (1974) · Journal of Abnormal Psychology · doi:10.1037/h0036706 · Cited by 109 · see citing works

Impact of depression on response to comedy: A dynamic facial coding analysis.

Reed, L. I., Sayette, M. A., & Cohn, J. F. (2007) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.116.4.804 · Cited by 100 · see citing works

All PTSD symptoms are highly associated with general distress: Ramifications for the dysphoria symptom cluster.

Marshall, G. N., Schell, T. L., & Miles, J. N. V. (2010) · Journal of Abnormal Psychology · doi:10.1037/a0018477 · Cited by 97 · see citing works

Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation

Morency, L., Whitehill, J., & Movellan, J. R. (2008) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2008.4813429 · Cited by 97 · see citing works

The predictive validity of the PTSD Checklist in a nonclinical sample of combat-exposed National Guard troops.

Arbisi, P. A., Kaler, M. E., Kehle‐Forbes, S., Erbes, C. R., Polusny, M. A., & THURAS, P. D. (2012) · Psychological Assessment · doi:10.1037/a0028014 · Cited by 71 · see citing works

Nonverbal interaction of patients and therapists during psychiatric interviews.

Fairbanks, L. A., McGuire, M. T., & Harris, C. J. (1982) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.91.2.109 · Cited by 63 · see citing works

Major Depression: Behavioral Markers of Depression and Recovery

SCHELDE, J. T. M. (1998) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-199803000-00001 · Cited by 55 · see citing works

Major Depression: Behavioral Parameters of Depression and Recovery

SCHELDE, J. T. M. (1998) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-199803000-00002 · Cited by 54 · see citing works

Nonverbal attunement between depressed patients and an interviewer predicts subsequent improvement

Geerts, E., Bouhuys, N., & van den Hoofdakker, R. H. (1996) · Journal of Affective Disorders · doi:10.1016/0165-0327(96)00037-7 · Cited by 47 · see citing works

Nonverbal Social Skills and Psychopathology

Pérez, J. E., & Riggio, R. E. (2003) · Oxford University Press eBooks · doi:10.1093/med:psych/9780195141092.003.0002 · Cited by 44 · see citing works

The Effect of Two Training Procedures on Observer Agreement and Variability of Behavior Ratings

Wildman, B. G., Erickson, M. T., & Kent, R. N. (1975) · Child Development · doi:10.1111/j.1467-8624.1975.tb03342.x · Cited by 42 · see citing works

The interrelatedness of observed behavior of depressed patients and of a psychiatrist: an ethological study on mutual influence

Bouhuys, A. L., & van den Hoofdakker, R. H. (1991) · Journal of Affective Disorders · doi:10.1016/0165-0327(91)90093-8 · Cited by 35 · see citing works

Recording system bias in direct observational methodology

Harris, F. C., & Lahey, B. B. (1982) · Clinical Psychology Review · doi:10.1016/0272-7358(82)90029-0 · Cited by 32 · see citing works

Facial Expression and Experience of Emotions in Psychodynamic Interviews with Patients with PTSD in Comparison to Healthy Subjects

Kirsch, A., & Brunnhuber, S. (2007) · Psychopathology · doi:10.1159/000104779 · Cited by 30 · see citing works

Social Signal Interpretation (SSI)

Wagner, J., Lingenfelser, F., Bee, N., & André, E. (2011) · Künstliche Intell. · doi:10.1007/s13218-011-0115-x · Cited by 17 · see citing works

Examining nonverbal shame markers among post-pregnancy women with maltreatment histories

Menke, R. A. (2011) · Human Biology · Cited by 8 · see citing works

A review of depression and suicide risk assessment using speech analysis

Cummins, N., Scherer, S. J., Krajewski, J., Schnieder, S., Epps, J., & Quatieri, T. F. (2015) · Speech Communication · doi:10.1016/j.specom.2015.03.004 · Cited by 1,007 · see citing works

AVEC 2013

Valstar, M., Schuller, B. W., Smith, K., Eyben, F., Jiang, B., Bilakhia, S., Schnieder, S., Cowie, R., & Pantić, M. (2013) · doi:10.1145/2512530.2512533 · Cited by 581 · see citing works

Untitled work

(2014) · doi:10.5555/2615731.2617415 · Cited by 553 · see citing works

Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications

Corneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527 · see citing works

AVEC 2014

Valstar, M., Schuller, B. W., Smith, K., Almaev, T. R., Eyben, F., Krajewski, J., Cowie, R., & Pantić, M. (2014) · International Workshop on Audio/Visual Emotion Challenge (AVEC) · doi:10.1145/2661806.2661807 · Cited by 476 · see citing works

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Ringeval, F., Schuller, B., Valstar, M., Cummins, N., Cowie, R., Tavabi, L., Schmitt, M., Alisamir, S., Amiriparian, S., Messner, E.-M., et al. (2019) · Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop · doi:10.1145/3347320.3357688 · Cited by 409 · see citing works

Deep learning for depression recognition with audiovisual cues: A review

He, L., Niu, M., Tiwari, P., Marttinen, P., Su, R., Jiang, J., Guo, C., Wang, H., Ding, S., Wang, Z., et al. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.10.012 · Cited by 270 · see citing works

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

Girard, J. M., Cohn, J. F., Mahoor, M. H., Mavadati, S. M., Hammal, Z., & Rosenwald, D. P. (2014) · Image and Vision Computing · doi:10.1016/j.imavis.2013.12.007 · Cited by 255 · see citing works

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

Pampouchidou, A., Simos, P. G., Kostas Marias, A., Mériaudeau, F., Yang, F., Pediaditis, M., & Tsiknakis, M. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2724035 · Cited by 224 · see citing works

Depression recognition based on dynamic facial and vocal expression features using partial least square regression

Meng, H., Huang, D., Wang, H., Yang, H., AI-Shuraifi, M., & Wang, Y. (2013) · Proceedings of the 3rd ACM international workshop on Audio/visual emotion challenge · doi:10.1145/2512530.2512532 · Cited by 225 · see citing works

Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions

Jan, A., Meng, H., Gaus, Y. F. B. A., & Zhang, F. (2018) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2017.2721552 · Cited by 219 · see citing works

Hire me: Computational Inference of Hirability in Employment Interviews Based on Nonverbal Behavior

Nguyen, L. S., Frauendorfer, D., Mast, M. S., & Gática-Pérez, D. (2014) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2014.2307169 · Cited by 186 · see citing works

The social signal interpretation (SSI) framework

Wagner, J., Lingenfelser, F., Baur, T., Damian, I., Kistler, F., & André, E. (2013) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2502081.2502223 · Cited by 174 · see citing works

Cicero - Towards a Multimodal Virtual Audience Platform for Public Speaking Training

Batrinca, L., Stratou, G., Shapiro, A., Morency, L., & Scherer, S. J. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40415-3_10 · Cited by 157 · see citing works

Investigating voice quality as a speaker-independent indicator of depression and PTSD

Scherer, S. J., Stratou, G., Gratch, J. S., & Morency, L. (2013) · Interspeech (USB) · doi:10.21437/interspeech.2013-240 · Cited by 141 · see citing works

Diagnosis of depression by behavioural signals

Cummins, N., Joshi, J., Dhall, A., Sethu, V., Goecke, R., & Epps, J. (2013) · doi:10.1145/2512530.2512535 · Cited by 138 · see citing works

Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews

Scherer, S. J., Lucas, G., Gratch, J. S., Rizzo, A., & Morency, L. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2440264 · Cited by 122 · see citing works

Automatic audiovisual behavior descriptors for psychological disorder analysis

Scherer, S. J., Stratou, G., Lucas, G., Mahmoud, M., Boberg, J., Gratch, J. S., Rizzo, A., & Morency, L. (2014) · Image and Vision Computing · doi:10.1016/j.imavis.2014.06.001 · Cited by 123 · see citing works

Speech‐based markers for posttraumatic stress disorder in US veterans

Marmar, C. R., Brown, A. D., Qian, M., LASKA, E. M., Siegel, C., Li, M., Amara, D. A., Tsiartas, A., Richey, C., Smith, J. G., et al. (2019) · Depression and Anxiety · doi:10.1002/da.22890 · Cited by 129 · see citing works

The distress analysis interview corpus of human and computer interviews

Gratch, J., Artstein, R., Lucas, G., Stratou, G., Scherer, S., Nazarian, A., Wood, R., Boberg, J., DeVault, D., Marsella, S., et al. (2014) · Proceedings of the Language Resources and Evaluation Conference · doi:10.63317/3o7bccg9xequ · Cited by 599 · see citing works

Multitask Representation Learning for Multimodal Estimation of Depression Level

Qureshi, S. A., Saha, S., Hasanuzzaman, M., & Dias, G. H. (2019) · IEEE Intelligent Systems · doi:10.1109/mis.2019.2925204 · Cited by 112 · see citing works

Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions

Gupta, R., Malandrakis, N., Xiao, B., Guha, T., Segbroeck, M. V., Black, M., Potamianos, A., & Narayanan, S. S. (2014) · International Workshop on Audio/Visual Emotion Challenge (AVEC) · doi:10.1145/2661806.2661810 · Cited by 110 · see citing works

Automatic Depression Scale Prediction using Facial Expression Dynamics and Regression

Jan, A., Meng, H., Gaus, Y. F. A., Zhang, F., & Turabzadeh, S. (2014) · International Workshop on Audio/Visual Emotion Challenge (AVEC) · doi:10.1145/2661806.2661812 · Cited by 114 · see citing works

Semi-Structural Interview-Based Chinese Multimodal Depression Corpus Towards Automatic Preliminary Screening of Depressive Disorders

Zou, B., Han, J., Wang, Y., Liu, R., Zhao, S., Feng, L., Lyu, X., & Ma, H. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2022.3181210 · Cited by 114 · see citing works

AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and ChallengePreprint

Valstar, M., Gratch, J. S., Schuller, B. W., Ringeval, F., Lalanne, D., Torres, M. T., Scherer, S. J., Stratou, G., Cowie, R., & Pantić, M. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1605.01600 · Cited by 121 · see citing works

A Brief Review of Artificial Intelligence Applications and Algorithms for Psychiatric Disorders

Liu, G.-D., Li, Y., Zhang, W., & Zhang, L. (2019) · Engineering · doi:10.1016/j.eng.2019.06.008 · Cited by 102 · see citing works

Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion

Wang, J. Z., Zhao, S., Wu, C., Adams, R. B., Newman, M. G., Shafir, T., & Tsachor, R. P. (2023) · Proceedings of the IEEE · doi:10.1109/jproc.2023.3273517 · Cited by 98 · see citing works

Automated Face Analysis for Affective Computing

Calvo, R. A., D’Mello, S. K., Gratch, J. S., Kappas, A., Cohn, J. F., & la Torre, F. D. (2014) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199942237.013.020 · Cited by 82 · see citing works

Cross-cultural detection of depression from nonverbal behaviour

Alghowinem, S., Goecke, R., Cohn, J. F., Wagner, M., Parker, G. B., & Breakspear, M. J. (2015) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2015.7163113 · Cited by 77 · see citing works

Depression Estimation Using Audiovisual Features and Fisher Vector Encoding

Jain, V., Crowley, J. L., Dey, A. K., & Lux, A. (2014) · Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge · doi:10.1145/2661806.2661817 · Cited by 78 · see citing works

Automatic Nonverbal Behavior Indicators of Depression and PTSD: Exploring Gender Differences

Stratou, G., Scherer, S. J., Gratch, J. S., & Morency, L. (2013) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2013.31 · Cited by 77 · see citing works

Audiovisual behavior descriptors for depression assessment

Scherer, S. J., Stratou, G., & Morency, L. (2013) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2522848.2522886 · Cited by 73 · see citing works

The Additive Value of Multimodal Features for Predicting Engagement, Frustration, and Learning during Tutoring

Grafsgaard, J. F., Wiggins, J. B., Vail, A. K., Boyer, K. E., Wiebe, E., & Lester, J. C. (2014) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2663204.2663264 · Cited by 72 · see citing works

A Cross-modal Review of Indicators for Depression Detection Systems

Morales, M. R., Scherer, S. J., & Levitan, R. (2017) · Workshop on Computational Linguistics and Clinical Psychology (CLPsych) · doi:10.18653/v1/w17-3101 · Cited by 71 · see citing works

Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)

(2014) · doi:10.3115/v1/w14-43 · Cited by 66 · see citing works

Investigating the speech characteristics of suicidal adolescents

Scherer, S. J., Pestian, J. P., & Morency, L. (2013) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2013.6637740 · Cited by 63 · see citing works

MultiSense—Context-Aware Nonverbal Behavior Analysis Framework: A Psychological Distress Use Case

Stratou, G., & Morency, L. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2016.2614300 · Cited by 56 · see citing works

Classifying major depressive disorder and response to deep brain stimulation over time by analyzing facial expressions

Jiang, Z., Harati, S., Crowell, A., Mayberg, H. S., Nemati, S., & Clifford, G. D. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.3010472 · Cited by 60 · see citing works

Facial Action Unit Detection Using Active Learning and an Efficient Non-linear Kernel Approximation

Sénéchal, T., McDuff, D., & el Kaliouby, R. (2015) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2015.11 · Cited by 58 · see citing works

Automatic nonverbal behavior indicators of depression and PTSD: the effect of gender

Stratou, G., Scherer, S. J., Gratch, J. S., & Morency, L. (2014) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-014-0161-4 · Cited by 57 · see citing works

Multimodal assessment of depression from behavioral signals

Cohn, J. F., Cummins, N., Epps, J., Goecke, R., Joshi, J., & Scherer, S. J. (2018) · ACM eBooks · doi:10.1145/3107990.3108004 · Cited by 55 · see citing works

An End-to-End Model for Detection and Assessment of Depression Levels using Speech

Srimadhur, N. S., & Lalitha, S. (2020) · Procedia Computer Science · doi:10.1016/j.procs.2020.04.003 · Cited by 54 · see citing works

Association between acoustic speech features and non-severe levels of anxiety and depression symptoms across lifespan

Albuquerque, L., Valente, A. R., Teixeira, A. J. S., de Figueiredo, D. M. P., Sá‐Couto, P., & Oliveira, C. (2021) · PLoS ONE · doi:10.1371/journal.pone.0248842 · Cited by 55 · see citing works

How Can Affect Be Detected and Represented in Technological Support for Physical Rehabilitation?

Olugbade, T. A., Singh, A., Bianchi-Berthouze, N., Marquardt, N., Aung, M., & Williams, A. C. D. C. (2019) · ACM Trans. Comput. Hum. Interact. · doi:10.1145/3299095 · Cited by 43 · see citing works

Verbal indicators of psychological distress in interactive dialogue with a virtual human

DeVault, D., Georgila, K., Artstein, R., Morbini, F., Traum, D. R., Scherer, S. J., Rizzo, A., & Morency, L. (2013) · Cited by 44 · see citing works

Automated screening for distress: A perspective for the future

Rana, R. K., Latif, S., Gururajan, R., Gray, A. D., Mackenzie, G., Humphris, G. M., & Dunn, J. C. (2019) · European Journal of Cancer Care · doi:10.1111/ecc.13033 · Cited by 45 · see citing works

Facial expression analysis using Decomposed Multiscale Spatiotemporal Networks

de Melo, W. C., Granger, É., & López, M. B. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.121276 · Cited by 43 · see citing works

Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework

Yadav, S., Chauhan, J., Sain, J. P., Thirunarayan, K., Sheth, A., & Schumm, J. A. (2020) · International Conference on Computational Linguistics · doi:10.18653/v1/2020.coling-main.61 · Cited by 44 · see citing works

Detecting depression in speech: Comparison and combination between different speech types

Long, H., Guo, Z., Wu, X., Hu, B. X., Liu, Z., & Cai, H. (2017) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2017.8217802 · Cited by 38 · see citing works

Designing a framework for assisting depression severity assessment from facial image analysis

Pampouchidou, A., Kostas Marias, A., Tsiknakis, M., Simos, P. G., Yang, F., & Mériaudeau, F. (2015) · IEEE International Conference on Signal and Image Processing Applications (ICSIPA) · doi:10.1109/icsipa.2015.7412257 · Cited by 37 · see citing works

Interpreting Depression From Question-Wise Long-Term Video Recording of SDS Evaluation

Xie, W., Liang, L., Lu, Y., Wang, C., Shen, J., Luo, H., & Liu, X. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3092628 · Cited by 44 · see citing works

Attention-based acoustic feature fusion network for depression detection

Xu, X. D., Wang, Y., Wei, X., Wang, F., & Zhang, X. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128209 · Cited by 35 · see citing works

Human vision inspired feature extraction for facial expression recognition

Sadeghi, H., & Raie, A. A. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-07863-z · Cited by 35 · see citing works

Color Analysis of Facial Skin: Detection of Emotional State

Ramírez, G. A., Fuentes, O., Crites, S. L., Jimenez, M., & Ordoñez, J. (2014) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2014.76 · Cited by 33 · see citing works

Deep peak-neutral difference feature for facial expression recognition

Chen, J., Xu, R., & Liu, L. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-5909-5 · Cited by 32 · see citing works

What really matters — An information gain analysis of questions and reactions in automated PTSD screenings

Wörtwein, T., & Scherer, S. J. (2017) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2017.8273573 · Cited by 32 · see citing works

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

Birnbaum, M. L., Abrami, A., Heisig, S., Ali, A. F., Arenare, E., Agurto, C., Lu, N. Y., Kane, J. M., & Cecchi, G. (2022) · JMIR Mental Health · doi:10.2196/24699 · Cited by 31 · see citing works

Context-based signal descriptors of heart-rate variability for anxiety assessment

Chatterjee, M., Stratou, G., Scherer, S. J., & Morency, L. (2014) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2014.6854278 · Cited by 30 · see citing works

The project for objective measures using computational psychiatry technology (PROMPT): Rationale, design, and methodology

Kishimoto, T., Takamiya, A., Liang, K., Funaki, K., Fujita, T., Kitazawa, M., Yoshimura, M., Tazawa, Y., Horigome, T., Eguchi, Y., et al. (2020) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2020.100649 · Cited by 30 · see citing works

Detection and computational analysis of psychological signals using a virtual human interviewing agent

Rizzo, A., Scherer, S. J., DeVault, D., Gratch, J. S., Artstein, R., Hartholt, A., Lucas, G., Marsella, S., Morbini, F., Nazarian, A., et al. (2014) · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · Cited by 28 · see citing works

Behavioral Sentiment Analysis of Depressive States

Esposito, A. A., Raimo, G., Maldonato, M. N., Vogel, C. M., Conson, M., & Cordasco, G. (2020) · IEEE International Conference on Cognitive Infocommunications · doi:10.1109/coginfocom50765.2020.9237856 · Cited by 28 · see citing works

Towards an affective interface for assessment of psychological distress

Lucas, G., Gratch, J. S., Scherer, S. J., Boberg, J., & Stratou, G. (2015) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2015.7344622 · Cited by 26 · see citing works

Recommendations for the Use of ICT in Elderly Populations with Affective Disorders

Gros, A., Bensamoun, D., Manera, V., Fabre, R., Zacconi-Cauvin, A.-M., Thümmler, S., Benoît, M., Robert, P. H., & David, R. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00269 · Cited by 28 · see citing works

A Multimodal Context-based Approach for Distress Assessment

Ghosh, S., Chatterjee, M., & Morency, L. (2014) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2663204.2663274 · Cited by 27 · see citing works

Gender-Aware Estimation of Depression Severity Level in a Multimodal Setting

Oureshi, S. A., Dias, G. H., Saha, S., & Hasanuzzaman, M. (2021) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn52387.2021.9534330 · Cited by 26 · see citing works

Let Your Body Speak: Communicative Cue Extraction on Natural Interaction Using RGBD Data

Marcos-Ramiro, A., Pizarro, D., Marrón-Romera, M., & Gática-Pérez, D. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2464152 · Cited by 25 · see citing works

Extended Study on the Use of Vocal Tract Variables to Quantify Neuromotor Coordination in Depression

Seneviratne, N., Williamson, J. R., Lammert, A. C., Quatieri, T. F., & Espy-Wilson, C. (2020) · Interspeech (USB) · doi:10.21437/interspeech.2020-2758 · Cited by 24 · see citing works

Speech Based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model

Seneviratne, N., & Espy-Wilson, C. (2021) · Interspeech (USB) · doi:10.21437/interspeech.2021-1967 · Cited by 24 · see citing works

Modeling Dyadic and Group Impressions with Intermodal and Interperson Features

Okada, S., Nguyen, L. S., Aran, O., & Gática-Pérez, D. (2019) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3265754 · Cited by 24 · see citing works

A multimodal adaptive session manager for physical rehabilitation exercising

Tsiakas, K., Huber, M., & Makedon, F. S. (2015) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/2769493.2769507 · Cited by 22 · see citing works

The Use of Closed-Circuit Television and Video in Suicide Prevention: Narrative Review and Future Directions

Onie, S., Li, X., Liang, M., Sowmya, A., & Larsen, M. E. (2021) · JMIR Mental Health · doi:10.2196/27663 · Cited by 21 · see citing works

Untitled work

(2016) · doi:10.1145/2988257.2988265 · Cited by 26 · see citing works

Intra- and Interpersonal Functions of Head Motion in Emotion Communication

Hammal, Z., & Cohn, J. F. (2014) · doi:10.1145/2666253.2666258 · Cited by 19 · see citing works

Multimodal Prediction of Psychological Disorders: Learning Verbal and Nonverbal Commonalities in Adjacency Pairs

Yu, Z., Scherer, S., DeVault, D., Gratch, J. S., Stratou, G., Morency, L., & Cassell, J. (2013) · Cited by 19 · see citing works

Decoding depressive disorder using computer vision

Singh, J., & Goyal, G. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-10128-9 · Cited by 19 · see citing works

The Verbal and Non Verbal Signals of Depression -- Combining Acoustics, Text and Visuals for Estimating Depression LevelPreprint

Qureshi, S. A., Hasanuzzaman, M., Saha, S., & Dias, G. H. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.07656 · Cited by 19 · see citing works

Looking at the Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress

Lin, W., Orton, I., Li, Q., Pavarini, G., & Mahmoud, M. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2021.3101698 · Cited by 17 · see citing works

Automatic multimodal descriptors of rhythmic body movement

Mahmoud, M., Morency, L., & Robinson, P. (2013) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2522848.2522895 · Cited by 17 · see citing works

Toward Visual Behavior Markers of Suicidal Ideation

Eigbe, N., Baltrušaitis, T., Morency, L., & Pestian, J. P. (2018) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2018.00085 · Cited by 16 · see citing works

An historical overview of artificial intelligence for diagnosis of major depressive disorder

Liu, H., Wu, H., Yang, Z., Ren, Z., Dong, Y., Zhang, G., & Li, M. D. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1417253 · Cited by 16 · see citing works

A Demonstration of Dialogue Processing in SimSensei Kiosk

Morbini, F., DeVault, D., Georgila, K., Artstein, R., Traum, D. R., & Morency, L. (2014) · Annual Meeting of the Special Interest Group on Discourse and Dialogue · doi:10.3115/v1/w14-4334 · Cited by 15 · see citing works

Gamification to Improve Adherence to Clinical Treatment Advice

Richards, D., & Caldwell, P. H. Y. (2015) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-4666-9522-1.ch004 · Cited by 15 · see citing works

Deep Learning for Depression Recognition with Audiovisual Cues: A ReviewPreprint

He, L., Niu, M., Tiwari, P., Marttinen, P., Su, R., Jiang, J., Guo, C., Wang, H., Ding, S., Wang, Z., et al. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.00610 · Cited by 15 · see citing works

An Investigation on the Audio-Video Data Based Estimation of Emotion Regulation Difficulties and Their Association With Mental Disorders

Gupta, R. K., & Sinha, R. (2023) · IEEE Access · doi:10.1109/access.2023.3297091 · Cited by 14 · see citing works

An Emerging Decision Authority

Töniges, T., Ötting, S. K., Wrede, B., Maier, G. W., & Sagerer, G. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803801-7.00026-2 · Cited by 14 · see citing works

Local Second-Order Gradient Cross Pattern for Automatic Depression Detection

Niu, M., Tao, J., & Liu, B. (2019) · International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) · doi:10.1109/aciiw.2019.8925158 · Cited by 14 · see citing works

Multimodal analysis of vocal collaborative search: a public corpus and results

McDuff, D., Thomas, P., Czerwinski, M. P., & Craswell, N. (2017) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3136755.3136813 · Cited by 11 · see citing works

Multimodal Prediction of Obsessive-Compulsive Disorder and Comorbid Depression Severity and Energy Delivered by Deep Brain Electrodes

Hinduja, S., Darzi, A., Ertuğrul, I. Ö., Provenza, N. R., Gadot, R., Storch, E. A., Sheth, S. A., Goodman, W. K., & Cohn, J. F. (2024) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2024.3395117 · Cited by 10 · see citing works

Domain Adversarial Training for Mitigating Gender Bias in Speech-based Mental Health Detection

Kim, J.-W., Yoon, H., Oh, W., Jung, D., Yoon, S.-H., Kim, D.-J., Lee, D., Lee, S.-Y., & Yang, C.-M. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11253190 · Cited by 10 · see citing works

Detecting emotional reactions to videos of depression

Zhu, X., Gedeon, T., Caldwell, S., & Jones, R. (2019) · IEEE International Conference on Intelligent Engineering Systems (INES) · doi:10.1109/ines46365.2019.9109519 · Cited by 9 · see citing works

Computer-Based PTSD Assessment in VR Exposure Therapy

Tavabi, L., Poon, A., Rizzo, A., & Soleymani, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59990-4_32 · Cited by 8 · see citing works

Automatic Analysis of Bodily Social Signals

Poppe, R. W. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316676202.012 · Cited by 8 · see citing works

Automatic Detection of Self-Adaptors for Psychological Distress

Lin, W., Orton, I., Liu, M., & Mahmoud, M. (2020) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg47880.2020.00032 · Cited by 8 · see citing works

Towards Identifying Fine-Grained Depression Symptoms from Memes

Yadav, S., Caragea, C., Zhao, C., Kumari, N. P., Solberg, M. A., & Sharma, T. (2023) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2023.acl-long.495 · Cited by 6 · see citing works

A Multi-Frame Rate Network with Attention Mechanism for Depression Severity Estimation

Wang, R., Guo, J. M., Wang, J., He, L., & Yang, Y. (2023) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm58861.2023.10385423 · Cited by 6 · see citing works

Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions: A review

Igraś-Cybulska, M., Hemmerling, D., Ziółko, M., Datka, W., Stogowska, E., Kucharski, M., Rzepka, R., & Ziółko, B. (2023) · Archives of Acoustics · doi:10.24425/aoa.2023.146640 · Cited by 7 · see citing works

Gamification to Improve Adherence to Clinical Treatment Advice

Richards, D., & Caldwell, P. H. Y. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-1928-7.ch005 · Cited by 6 · see citing works

The Nonverbal Visual Cues to Deception

Liang, J., Kaiyun, L. I., Qu, F., Yu-Hsin, C. H. E. N., Yan, W., & Fu, X. (2014) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2014.00995 · Cited by 5 · see citing works

Deep Learning Based Generalized Models for Depression Classification.Preprint

Seneviratne, N., & Espy-Wilson, C. (2020) · arXiv (Cornell University) · Cited by 5 · see citing works

Deep multi-task learning based detection of correlated mental disorders using audio modality

Gupta, R. K., & Sinha, R. (2024) · Computer Speech & Language · doi:10.1016/j.csl.2024.101710 · Cited by 4 · see citing works

Automatic audiovisual behavior descriptors for psychological disorder analysis

Scherer, S. J., Stratou, G., Lucas, G., Mahmoud, M., Boberg, J., Gratch, J. S., Rizzo, A., & Morency, L. (2014) · Image and Vision Computing · doi:10.1016/j.imavis.2014.06.001 · Cited by 123 · see citing works

Automatic nonverbal behavior indicators of depression and PTSD: the effect of gender

Stratou, G., Scherer, S. J., Gratch, J. S., & Morency, L. (2014) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-014-0161-4 · Cited by 57 · see citing works

Automatic Nonverbal Behavior Indicators of Depression and PTSD: Exploring Gender Differences

Stratou, G., Scherer, S. J., Gratch, J. S., & Morency, L. (2013) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2013.31 · Cited by 77 · see citing works

Looking at the Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress

Lin, W., Orton, I., Li, Q., Pavarini, G., & Mahmoud, M. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2021.3101698 · Cited by 17 · see citing works

Extracting nonverbal behavior with automated tools: Comparison to event recorder and behavior rating

FUJIWARA, K., & Daibo, I. (2012) · The Proceedings of the Annual Convention of the Japanese Psychological Association · doi:10.4992/pacjpa.76.0_2ama26