Creativity Meets Automation: Combining Nonverbal Action Authoring with Rules and Machine Learning
Identifieur interne : 000891 ( Main/Exploration ); précédent : 000890; suivant : 000892Creativity Meets Automation: Combining Nonverbal Action Authoring with Rules and Machine Learning
Auteurs : Michael Kipp [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
English descriptors
- Teeft :
- Action name, Action rate, Animation, Animation engines, Automatic generation, Automatic rule, Autonomous agents, Best ones, Cluster analysis, Cohibit, Cohibit system, Conditional side, Current system, Evaluation criteria, Facial, Facial expression, False positives, Female character, Function words, Generation rules, Gesture generation, Gesture workshop, Graphical user interface, Hand side, Head movement, Hybrid approach, Interactive performances, Joint conference, Keyframe animation, Kipp, Large corpus, Manual gesture, Many actions, Multiagent systems, Negative samples, Nonverbal actions, Other character, Partial vector, Positive utterance, Right hand side, Rule generator, Same time, Total corpus, Total number, User, Utterance, Utterance level, Virtual, Virtual characters.
Abstract
Abstract: Providing virtual characters with natural gestures is a complex task. Even if the range of gestures is limited, deciding when to play which gesture may be considered both an engineering or an artistic task. We want to strike a balance by presenting a system where gesture selection and timing can be human authored in a script, leaving full artistic freedom to the author. However, to make authoring faster we offer a rule system that generates gestures on the basis of human authored rules. To push automation further, we show how machine learning can be utilized to suggest further rules on the basis of previously annotated scripts. Our system thus offers different degrees of automation for the author, allowing for creativity and automation to join forces.
Url:
DOI: 10.1007/11821830_19
Affiliations:
Links toward previous steps (curation, corpus...)
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- to stream Istex, to step Curation: 000314
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Le document en format XML
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Even if the range of gestures is limited, deciding when to play which gesture may be considered both an engineering or an artistic task. We want to strike a balance by presenting a system where gesture selection and timing can be human authored in a script, leaving full artistic freedom to the author. However, to make authoring faster we offer a rule system that generates gestures on the basis of human authored rules. To push automation further, we show how machine learning can be utilized to suggest further rules on the basis of previously annotated scripts. Our system thus offers different degrees of automation for the author, allowing for creativity and automation to join forces.</div></front></TEI><affiliations><list><country><li>Allemagne</li></country><region><li>Sarre (Land)</li></region><settlement><li>Sarrebruck</li></settlement></list><tree><country name="Allemagne"><region name="Sarre (Land)"><name sortKey="Kipp, Michael" sort="Kipp, Michael" uniqKey="Kipp M" first="Michael" last="Kipp">Michael Kipp</name></region><name sortKey="Kipp, Michael" sort="Kipp, Michael" uniqKey="Kipp M" first="Michael" last="Kipp">Michael Kipp</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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