What Should a Generic Emotion Markup Language Be Able to Represent?-Reference-Cited by-同舟云学术

What Should a Generic Emotion Markup Language Be Able to Represent?

Published: Issue: Volume: Page:440-451
ISSN:0302-9743
Container-title:Affective Computing and Intelligent Interaction
language:
Short-container-title:

Author:

Schröder Marc,Devillers Laurence,Karpouzis Kostas,Martin Jean-Claude,Pelachaud Catherine,Peter Christian,Pirker Hannes,Schuller Björn,Tao Jianhua,Wilson Ian

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74889-2_39.pdf

Reference18 articles.

1. Prendinger, H., Ishizuka, M.: Life-like Characters. Tools, Affective Functions and Applications. Springer, Berlin (2004)

2. Ekman, P.: Facial expression and emotion. American Psychologist 48, 384–392 (1993)

3. Schröder, M., Pirker, H., Lamolle, M.: First suggestions for an emotion annotation and representation language. In: Proceedings of LREC 2006 Workshop on Corpora for Research on Emotion and Affect, Genoa, Italy, pp. 88–92 (2006)

4. Douglas-Cowie, E. et al.: HUMAINE deliverable D5g: Mid Term Report on Database Exemplar Progress (2006), http://emotion-research.net/deliverables

5. Ekman, P., Friesen, W.: The Facial Action Coding System. Consulting Psychologists Press, San Francisco (1978)

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An overview of common emotion models in computer systems;2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO);2022-05-23

2. Emotion Recognition In Emergency Call Centers: The challenge of real-life emotions;2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW);2021-09-28

3. Is Callous Always Cold? A Critical Review of the Literature on Emotion and the Development of Callous–Unemotional Traits in Children;Clinical Child and Family Psychology Review;2020-01-07

4. Acquisition of Affect;Human–Computer Interaction Series;2016

5. Emotion Recognition in Naturalistic Speech and Language-A Survey;Emotion Recognition;2015-01-02