Facial emotion recognition with transition detection for students with high-functioning autism in adaptive e-learning-Reference-Cited by-同舟云学术

Facial emotion recognition with transition detection for students with high-functioning autism in adaptive e-learning

Published:2017-04-10 Issue:9 Volume:22 Page:2973-2999
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Chu Hui-Chuan,Tsai William Wei-Jen,Liao Min-Ju,Chen Yuh-Min

Funder

National Science Council

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-017-2549-z/fulltext.html

Reference47 articles.

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3. Bänziger T, Mortillaro M, Scherer KR (2012) Introducing the Geneva Multimodal expression corpus for experimental research on emotion perception. Emotion 12(5):1161–1179. doi: 10.1037/a0025827

4. Baron-Cohen S (2000) Theory of mind and autism: a fifteen-year review. In: Baron-Cohen S, Tager-Flusberg H, Cohen DJ (eds) Understanding other minds: perspectives form developmental cognitive neuroscience. Oxford University Press, New York, pp 3–21

5. Becker C, Kopp S, Wachsmuth I (2004) Simulating the emotion dynamics of a multimodal conversational agent affective dialogue systems. Lecture Notes in Computer Science 3068:154–165

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