Journal of Vision):11, 1–12 http://journalofvision.org/content

Source URL: haxbylab.dartmouth.edu

• Neuroscience
• Nervous system
• Cognitive science
• Cognitive neuroscience
• Emotion
• Magnetic resonance imaging
• Functional magnetic resonance imaging
• Facial expression
• Artificial neural network
• G factor
• Microexpression
• Empathy

Tailoring Model-based Techniques to Facial Expression Interpretation Matthias Wimmer∗, Christoph Mayer, Sylvia Pietzsch, and Bernd Radig Chair for Image Understanding and Knowledge-Based Systems Technische Universit¨a

Source URL: wimmerm.bplaced.net

Human Capabilities on Video-based Facial Expression Recognition Matthias Wimmer1 , Ursula Zucker2 , and Bernd Radig2 1 Faculty of Science and Engineering, Waseda University, Tokyo, Japan

Source URL: wimmerm.bplaced.net

Automatic Facial Expression Recognition for Intelligent Tutoring Systems Jacob Whitehill, Marian Bartlett, and Javier Movellan Machine Perception Laboratory University of California, San Diego {jake, movellan}@mplab.ucsd

Source URL: mplab.ucsd.edu

COGNITION AND EMOTION, 2001, 15 (6), 853–864 BRIEF REPORT When did her smile drop? Facial mimicry and the influences of emotional state on the detection of change in emotional expression

Source URL: lapsco.univ-bpclermont.fr

Manifold Based Analysis of Facial Expression Changbo Hu, Ya Chang, Rogerio Feris, and Matthew Turk University of California, Santa Barbara {cbhu, yachang, rferis, mturk}@cs.ucsb.edu Abstract We propose a novel approach f

Source URL: rogerioferis.com

Facial Expression Recognition for Human-robot Interaction – A Prototype Matthias Wimmer1 , Bruce A. MacDonald2 , Dinuka Jayamuni2 , and Arpit Yadav2 1

Source URL: wimmerm.bplaced.net

End  User  License  Agreement   Affectiva-­‐MIT  Facial  Expression  Dataset  (AM-­‐FED)   This  dataset  consists  of  242  facial  videos  (168,359  frames)  

Source URL: www.affectiva.com

Research Introduction My primary research area is machine learning and its applications to (1) affective computing, including automatic facial expression and emotion recognition, and (2) education, including automated te

Source URL: mplab.ucsd.edu

Learning Active Facial Patches for Expression Analysis Lin Zhong† , Qingshan Liu‡ , Peng Yang† , Bo Liu† , Junzhou Huang§ , Dimitris N. Metaxas† † Department of Computer Science, Rutgers University, Piscataw

Source URL: www.research.rutgers.edu