Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH051435-02
Application #
2250697
Study Section
Special Emphasis Panel (SRCM (03))
Project Start
1995-08-01
Project End
1997-07-31
Budget Start
1996-08-01
Budget End
1997-07-31
Support Year
2
Fiscal Year
1996
Total Cost
Indirect Cost
Name
Mellon Pitts Corporation (Mpc Corp)
Department
Type
DUNS #
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Girard, Jeffrey M; Cohn, Jeffrey F (2015) Automated Audiovisual Depression Analysis. Curr Opin Psychol 4:75-79
Dibeklio?lu, Hamdi; Hammal, Zakia; Yang, Ying et al. (2015) Multimodal Detection of Depression in Clinical Interviews. Proc ACM Int Conf Multimodal Interact 2015:307-310
Girard, Jeffrey M; Cohn, Jeffrey F; Mahoor, Mohammad H et al. (2013) Social Risk and Depression: Evidence from Manual and Automatic Facial Expression Analysis. Proc Int Conf Autom Face Gesture Recognit :1-8
Yang, Ying; Fairbairn, Catherine; Cohn, Jeffrey F (2013) Detecting Depression Severity from Vocal Prosody. IEEE Trans Affect Comput 4:142-150
Mattson, Whitney I; Cohn, Jeffrey F; Mahoor, Mohammad H et al. (2013) Darwin's Duchenne: eye constriction during infant joy and distress. PLoS One 8:e80161
Schmidt, K; Levenstein, R; Ambadar, Z (2012) Intensity of smiling and attractiveness as facial signals of trustworthiness in women. Percept Mot Skills 114:964-78
Messinger, Daniel S; Mattson, Whitney I; Mahoor, Mohammad H et al. (2012) The eyes have it: making positive expressions more positive and negative expressions more negative. Emotion 12:430-6
Zhu, Yunfeng; De la Torre, Fernando; Cohn, Jeffrey F et al. (2011) Dynamic Cascades with Bidirectional Bootstrapping for Action Unit Detection in Spontaneous Facial Behavior. IEEE Trans Affect Comput 2:79-91
Saragih, Jason M; Lucey, Simon; Cohn, Jeffrey F (2011) Real-time Avatar Animation from a Single Image. Proc Int Conf Autom Face Gesture Recognit :117-124
Lucey, Patrick; Cohn, Jeffrey F; Matthews, Iain et al. (2011) Automatically detecting pain in video through facial action units. IEEE Trans Syst Man Cybern B Cybern 41:664-74

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