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dc.contributor.advisorJovan Popović.en_US
dc.contributor.authorHsu, Eugene, 1979-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2005-09-27T16:59:12Z
dc.date.available2005-09-27T16:59:12Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/28555
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.en_US
dc.descriptionIncludes bibliographical references (p. 41-43).en_US
dc.description.abstractIn human motion control applications, the mapping between a control specification and an appropriate target motion often defies an explicit encoding. This thesis presents a method that allows such a mapping to be defined by example, given that the control specification is recorded motion. The method begins by building a database of semantically meaningful instances of the mapping, each of which is represented by synchronized segments of control and target motion. A dynamic programming algorithm can then be used to interpret an input control specification in terms of mapping instances. This interpretation induces a sequence of target segments from the database, which is concatenated to create the appropriate target motion. The method is evaluated on two examples of indirect control. In the first, it is used to synthesize a walking human character that follows a sampled trajectory. In the second, it is used generate a synthetic partner for a dancer whose motion is acquired through motion capture.en_US
dc.description.statementofresponsibilityby Eugene Hsu.en_US
dc.format.extent43 p.en_US
dc.format.extent1521691 bytes
dc.format.extent1524479 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleExample-based control of human motionen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc57418242en_US


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