Abstract
This paper focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into arousal, expectation, intensity, power and valence level of the observed subject as there has been virtually no research bearing on this topic. Preliminary experiments show that it is possible to automatically predict emotions in terms of these five dimensions (arousal, expectation, intensity, power and valence) from conversational head gestures. Dimensional and continuous emotion prediction from spontaneous head gestures has been integrated in the SEMAINE project [1] that aims to achieve sustained emotionally-colored interaction between a human user and Sensitive Artificial Listeners
Original language | Undefined |
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Title of host publication | Proceedings of the 10th International Conference on Intelligent Virtual Agents, IVA 2010 |
Editors | Jan Allbeck, Norman Badler, Timothy Bickmore, Catherine Pelachaud, Alla Safonova |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 371-377 |
Number of pages | 7 |
ISBN (Print) | 978-3-642-15892-6 |
DOIs | |
Publication status | Published - 21 Sept 2010 |
Event | 10th International Conference on Intelligent Virtual Agents, IVA 2010 - Philadelphia, United States Duration: 20 Sept 2010 → 22 Sept 2010 Conference number: 10 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Volume | 6356 |
Conference
Conference | 10th International Conference on Intelligent Virtual Agents, IVA 2010 |
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Abbreviated title | IVA |
Country/Territory | United States |
City | Philadelphia |
Period | 20/09/10 → 22/09/10 |
Keywords
- IR-75933
- METIS-275891
- Spontaneous head movements
- HMI-MI: MULTIMODAL INTERACTIONS
- virtual character-human interaction
- EWI-19479
- dimensional emotion prediction
- EC Grant Agreement nr.: FP7/211486