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Conference Paper: Can we distinguish biological motions of virtual humans? Perceptual study with captured motions of weight lifting

TitleCan we distinguish biological motions of virtual humans? Perceptual study with captured motions of weight lifting
Authors
KeywordsHuman motions
Dynamics
Perception in VR
Issue Date2010
Citation
Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST, 2010, p. 87-90 How to Cite?
AbstractPerception of biological motions is a key issue in order to evaluate the quality and the credibility of motions of virtual humans. This paper presents a perceptual study to evaluate if human beings are able to accurately distinguish differences in natural lifting motions with various masses in virtual environments (VE), which is not the case. However, they reached very close levels of accuracy when watching to computer animations compared to videos. Still, quotes of participants suggest that the discrimination process is easier in videos of real motions which included muscles contractions, more degrees of freedom, etc. These results can be used to help animators to design efficient physically-based animations. Copyright © 2010 by the Association for Computing Machinery, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/288997

 

DC FieldValueLanguage
dc.contributor.authorHoyet, Ludovic-
dc.contributor.authorMulton, Franck-
dc.contributor.authorLecuyer, Anatole-
dc.contributor.authorKomura, Taku-
dc.date.accessioned2020-10-12T08:06:25Z-
dc.date.available2020-10-12T08:06:25Z-
dc.date.issued2010-
dc.identifier.citationProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST, 2010, p. 87-90-
dc.identifier.urihttp://hdl.handle.net/10722/288997-
dc.description.abstractPerception of biological motions is a key issue in order to evaluate the quality and the credibility of motions of virtual humans. This paper presents a perceptual study to evaluate if human beings are able to accurately distinguish differences in natural lifting motions with various masses in virtual environments (VE), which is not the case. However, they reached very close levels of accuracy when watching to computer animations compared to videos. Still, quotes of participants suggest that the discrimination process is easier in videos of real motions which included muscles contractions, more degrees of freedom, etc. These results can be used to help animators to design efficient physically-based animations. Copyright © 2010 by the Association for Computing Machinery, Inc.-
dc.languageeng-
dc.relation.ispartofProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST-
dc.subjectHuman motions-
dc.subjectDynamics-
dc.subjectPerception in VR-
dc.titleCan we distinguish biological motions of virtual humans? Perceptual study with captured motions of weight lifting-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1145/1889863.1889878-
dc.identifier.scopuseid_2-s2.0-79953031059-
dc.identifier.spage87-
dc.identifier.epage90-

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