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- Publisher Website: 10.1145/1067343.1067393
- Scopus: eid_2-s2.0-69549084946
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Conference Paper: Motion editing with data glove
Title | Motion editing with data glove |
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Authors | |
Keywords | Data glove Motion synthesis Motion editing Computer puppetry Motion capture |
Issue Date | 2004 |
Citation | ACM International Conference Proceeding Series, 2004, v. 74, p. 337-342 How to Cite? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/288985 |
DC Field | Value | Language |
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dc.contributor.author | Lam, Wai Chun | - |
dc.contributor.author | Zou, Feng | - |
dc.contributor.author | Komura, Taku | - |
dc.date.accessioned | 2020-10-12T08:06:23Z | - |
dc.date.available | 2020-10-12T08:06:23Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | ACM International Conference Proceeding Series, 2004, v. 74, p. 337-342 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288985 | - |
dc.description.abstract | In 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.language | eng | - |
dc.relation.ispartof | ACM International Conference Proceeding Series | - |
dc.subject | Data glove | - |
dc.subject | Motion synthesis | - |
dc.subject | Motion editing | - |
dc.subject | Computer puppetry | - |
dc.subject | Motion capture | - |
dc.title | Motion editing with data glove | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1145/1067343.1067393 | - |
dc.identifier.scopus | eid_2-s2.0-69549084946 | - |
dc.identifier.volume | 74 | - |
dc.identifier.spage | 337 | - |
dc.identifier.epage | 342 | - |