21.3.6.2.1 Depression Analysis, PTSD, Mental Health

Chapter Contents (Back)
Application, Faces. Mood. depression. See also Emotion Recognition from Face Images.

Yang, Y.[Ying], Fairbairn, C.[Catherine], Cohn, J.F.[Jeffrey F.],
Detecting Depression Severity from Vocal Prosody,
AffCom(4), No. 2, 2013, pp. 142-150.
IEEE DOI 1307
Atmospheric measurements BibRef

Nguyen, T.[Thin], Phung, D.Q.[Dinh Q.], Dao, B.[Bo], Venkatesh, S., Berk, M.,
Affective and Content Analysis of Online Depression Communities,
AffCom(5), No. 3, July 2014, pp. 217-226.
IEEE DOI 1412
feature extraction BibRef

Girard, J.M.[Jeffrey M.], Cohn, J.F.[Jeffrey F.], Mahoor, M.H.[Mohammad H.], Mavadati, S.M.[S. Mohammad], Hammal, Z.[Zakia], Rosenwald, D.P.[Dean P.],
Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses,
IVC(32), No. 10, 2014, pp. 641-647.
Elsevier DOI 1410
BibRef
Earlier: A1, A2, A3, A4, A6, Only:
Social risk and depression: Evidence from manual and automatic facial expression analysis,
FG13(1-8)
IEEE DOI 1309
Depression. behavioural sciences computing BibRef

Tittmann, M.[Mandy], Günther, T.[Thomas], Sacher, J.[Julia], Himmerich, H.[Hubertus], Villringer, A.[Arno], Hegerl, U.[Ulrich], Schönknecht, P.[Peter],
Structural brain changes in early-onset and late-onset depression: An update of volumetric MRI findings,
IJIST(24), No. 2, 2014, pp. 149-160.
DOI Link 1405
MRI BibRef

Lopez-Otero, P.[Paula], Docio-Fernandez, L.[Laura], Garcia-Mateo, C.[Carmen],
Assessing speaker independence on a speech-based depression level estimation system,
PRL(68, Part 2), No. 1, 2015, pp. 343-350.
Elsevier DOI 1512
Soft biometrics BibRef

Scherer, S., Lucas, G.M., Gratch, J., Rizzo, A.S.[A. Skip], Morency, L.P.,
Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews,
AffCom(7), No. 1, January 2016, pp. 59-73.
IEEE DOI 1603
Acoustics BibRef

Lin, W., Wu, H., Liu, Y., Lv, D., Yang, L.,
A CCA and ICA-Based Mixture Model for Identifying Major Depression Disorder,
MedImg(36), No. 3, March 2017, pp. 745-756.
IEEE DOI 1703
Analytical models BibRef

Walczak, N.[Nicholas], Fasching, J.[Joshua], Cullen, K.[Kathryn], Morellas, V.[Vassilios], Papanikolopoulos, N.[Nikolaos],
Toward identifying behavioral risk markers for mental health disorders: an assistive system for monitoring children's movements in a preschool classroom,
MVA(29), No. 4, May 2018, pp. 703-717.
Springer DOI 1805
BibRef


Hussain, S.A.[Syed Ali], Park, T.[Taiwoo], Yildirim, I.[Irem], Xiang, Z.[Zihan], Abbasi, F.[Farha],
Virtual-Reality Videos to Relieve Depression,
VAMR18(II: 77-85).
Springer DOI 1807
BibRef

Liao, D.[Dan], Shu, L.[Lin], Huang, Y.[Yanping], Yang, J.[Jiong], Xu, X.[Xiangmin],
Scenes Design in Virtual Reality for Depression Assessment,
VAMR18(II: 116-125).
Springer DOI 1807
BibRef

Song, S., Shen, L., Valstar, M.,
Human Behaviour-Based Automatic Depression Analysis Using Hand-Crafted Statistics and Deep Learned Spectral Features,
FG18(158-165)
IEEE DOI 1806
Encoding, Estimation, Face, Feature extraction, Gold, Standards, Time series analysis, Automatic depression analysis, Statistic BibRef

Eigbe, N., Baltrusaitis, T., Morency, L.P., Pestian, J.,
Toward Visual Behavior Markers of Suicidal Ideation,
FG18(530-534)
IEEE DOI 1806
Hospitals, Interviews, Mental disorders, Protocols, Task analysis, Tools, Visualization, Depression, Diagnosis, Facial behaviors, Gaze, Visual behaviors BibRef

Anis, K., Zakia, H., Mohamed, D., Jeffrey, C.,
Detecting Depression Severity by Interpretable Representations of Motion Dynamics,
FG18(739-745)
IEEE DOI 1806
Dynamics, Encoding, Face, Kinematics, Machine learning, Magnetic heads, Shape, Barycentric coordinates, Depression Severity Assessment, face and head dynamics BibRef

Ma, X.C.[Xing-Chen], Huang, D.[Di], Wang, Y.H.[Yun-Hong], Wang, Y.D.[Yi-Ding],
Cost-Sensitive Two-Stage Depression Prediction Using Dynamic Visual Clues,
ACCV16(II: 338-351).
Springer DOI 1704
BibRef

Alghowinem, S.[Sharifa], Goecke, R.[Roland], Cohn, J.F., Wagner, M.[Michael], Parker, G.[Gordon], Breakspear, M.[Michael],
Cross-cultural detection of depression from nonverbal behaviour,
FG15(1-8)
IEEE DOI 1508
BibRef
Earlier: A1, A2, A4, A5, A6, Only:
Eye movement analysis for depression detection,
ICIP13(4220-4224)
IEEE DOI 1402
cultural aspects. Eye movement; active appearance model; affective sensing; shape analysis BibRef

Joshi, J.[Jyoti], Goecke, R.[Roland], Parker, G.[Gordon], Breakspear, M.[Michael],
Can body expressions contribute to automatic depression analysis?,
FG13(1-7)
IEEE DOI 1309
face recognition BibRef

Joshi, J.[Jyoti], Dhall, A.[Abhinav], Goecke, R.[Roland], Breakspear, M.[Michael], Parker, G.[Gordon],
Neural-net classification for spatio-temporal descriptor based depression analysis,
ICPR12(2634-2638).
WWW Link. 1302
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Personality, Traits, Mood, Diagnosis Analysis .


Last update:Nov 12, 2018 at 11:26:54