Abstract
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.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2004
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hsu, Eugene, 1979-
- Advisor dc:contributor.advisor
-
- Jovan PopoviÄ.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.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.
- Licence dc:rights.uri
- Language dc:language.iso
- en_US
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/28555
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/28555