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Conference Paper: Motion editing with data glove

TitleMotion editing with data glove
Authors
KeywordsData glove
Motion synthesis
Motion editing
Computer puppetry
Motion capture
Issue Date2004
Citation
ACM International Conference Proceeding Series, 2004, v. 74, p. 337-342 How to Cite?
AbstractIn this paper, we propose a new method to deit captured human motion data by using the data glove. The animator first wears a glove and mimics the human body motion observed in the graphical display using his/her hand. Then, a mapping function that converts the motion of the hand to that of the whole body will be generated. Finally, by moving the hand in a slightly different way, a new motion with different taste will be generated. For example, after mimicking the walking motion by alternatively moving the index finger and the middle finger, by quickly moving the fingers with larger strides, it is possible to obtain a running motion. To achieve this goal, a method to map the hand motion to the whole body si proposed. Our method can be used not only for editing human motion, byt also for controlling human figures in real time environments such as games and virtual reality systems. Copyright 2004 ACM.
Persistent Identifierhttp://hdl.handle.net/10722/288985

 

DC FieldValueLanguage
dc.contributor.authorLam, Wai Chun-
dc.contributor.authorZou, Feng-
dc.contributor.authorKomura, Taku-
dc.date.accessioned2020-10-12T08:06:23Z-
dc.date.available2020-10-12T08:06:23Z-
dc.date.issued2004-
dc.identifier.citationACM International Conference Proceeding Series, 2004, v. 74, p. 337-342-
dc.identifier.urihttp://hdl.handle.net/10722/288985-
dc.description.abstractIn this paper, we propose a new method to deit captured human motion data by using the data glove. The animator first wears a glove and mimics the human body motion observed in the graphical display using his/her hand. Then, a mapping function that converts the motion of the hand to that of the whole body will be generated. Finally, by moving the hand in a slightly different way, a new motion with different taste will be generated. For example, after mimicking the walking motion by alternatively moving the index finger and the middle finger, by quickly moving the fingers with larger strides, it is possible to obtain a running motion. To achieve this goal, a method to map the hand motion to the whole body si proposed. Our method can be used not only for editing human motion, byt also for controlling human figures in real time environments such as games and virtual reality systems. Copyright 2004 ACM.-
dc.languageeng-
dc.relation.ispartofACM International Conference Proceeding Series-
dc.subjectData glove-
dc.subjectMotion synthesis-
dc.subjectMotion editing-
dc.subjectComputer puppetry-
dc.subjectMotion capture-
dc.titleMotion editing with data glove-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1145/1067343.1067393-
dc.identifier.scopuseid_2-s2.0-69549084946-
dc.identifier.volume74-
dc.identifier.spage337-
dc.identifier.epage342-

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