Example-Based Control of Human Motion
In human motion control applications, the mapping between a control specification and an appropriate target motion often defies an explicit encoding. We present a method that allows such a mapping to be defined by example, given that the control specification is recorded motion. Our method begins by...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Published: |
2008
|
| Online Access: | http://hdl.handle.net/1721.1/41944 |
| _version_ | 1826217795311894528 |
|---|---|
| author | Hsu, Eugene Gentry, Sommer Popovic, Jovan |
| author2 | Jovan Popovic |
| author_facet | Jovan Popovic Hsu, Eugene Gentry, Sommer Popovic, Jovan |
| author_sort | Hsu, Eugene |
| collection | MIT |
| description | In human motion control applications, the mapping between a control specification and an appropriate target motion often defies an explicit encoding. We present a method that allows such a mapping to be defined by example, given that the control specification is recorded motion. Our 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. We evaluate our method on two examples of indirect control. In the first, we synthesize a walking human character that follows a sampled trajectory. In the second, we generate a synthetic partner for a dancer whose motion is acquired through motion capture. |
| first_indexed | 2024-09-23T17:08:59Z |
| id | mit-1721.1/41944 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T17:08:59Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | mit-1721.1/419442019-04-08T07:29:53Z Example-Based Control of Human Motion Hsu, Eugene Gentry, Sommer Popovic, Jovan Jovan Popovic Computer Graphics In human motion control applications, the mapping between a control specification and an appropriate target motion often defies an explicit encoding. We present a method that allows such a mapping to be defined by example, given that the control specification is recorded motion. Our 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. We evaluate our method on two examples of indirect control. In the first, we synthesize a walking human character that follows a sampled trajectory. In the second, we generate a synthetic partner for a dancer whose motion is acquired through motion capture. 2008-08-25T19:00:19Z 2008-08-25T19:00:19Z 2004-07-01 http://hdl.handle.net/1721.1/41944 In ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pages 69-77, July 2004. Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory N/A application/octet-stream |
| spellingShingle | Hsu, Eugene Gentry, Sommer Popovic, Jovan Example-Based Control of Human Motion |
| title | Example-Based Control of Human Motion |
| title_full | Example-Based Control of Human Motion |
| title_fullStr | Example-Based Control of Human Motion |
| title_full_unstemmed | Example-Based Control of Human Motion |
| title_short | Example-Based Control of Human Motion |
| title_sort | example based control of human motion |
| url | http://hdl.handle.net/1721.1/41944 |
| work_keys_str_mv | AT hsueugene examplebasedcontrolofhumanmotion AT gentrysommer examplebasedcontrolofhumanmotion AT popovicjovan examplebasedcontrolofhumanmotion |