Emotion Capture
Author:
Affiliation:
1. Virtual Human Technology Lab, Utrecht University
2. Graphics, Vision and Visualisation Group, Trinity College Dublin
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2522628.2522633
Reference24 articles.
1. Ahn J. Gobron S. Thalmann D. and Boulic R . 2012 . Conveying real-time ambivalent feelings through asymmetric facial expressions. In Motion in Games vol. 7660 of Lecture Notes in Computer Science . 122--133. Ahn J. Gobron S. Thalmann D. and Boulic R. 2012. Conveying real-time ambivalent feelings through asymmetric facial expressions. In Motion in Games vol. 7660 of Lecture Notes in Computer Science. 122--133.
2. Emotion Perception from Dynamic and Static Body Expressions in Point-Light and Full-Light Displays
3. Aviezer H. Trope Y. and Todorov A. 2012. Body cues not facial expressions discriminate between intense positive and negative emotions. Science 338 6111 1225--1229. Aviezer H. Trope Y. and Todorov A. 2012. Body cues not facial expressions discriminate between intense positive and negative emotions. Science 338 6111 1225--1229.
4. Beeler T. Hahn F. Bradley D. Bickel B. Beardsley P. Gotsman C. Sumner R. W. and Gross M. 2011. High-quality passive facial performance capture using anchor frames. ACM Transactions on Graphics (SIGGRAPH 2011) 30 75:1--75:10. 10.1145/2010324.1964970 Beeler T. Hahn F. Bradley D. Bickel B. Beardsley P. Gotsman C. Sumner R. W. and Gross M. 2011. High-quality passive facial performance capture using anchor frames. ACM Transactions on Graphics (SIGGRAPH 2011) 30 75:1--75:10. 10.1145/2010324.1964970
5. A resource of validated affective and neutral sentences to assess identification of emotion in spoken language after a brain injury
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