Name
Abstract | ||
|---|---|---|
We present a system for generating full-body animations from the performance on a touch-sensitive tabletop of "finger walking", where two fingers are used to pantomime leg movements. A user study was conducted to explore how users can communicate full-body motion using their hands, which concluded that finger walking is a naturally-chosen and comfortable performance method. Based on contact data recorded during this study, the properties of a variety of performed locomotion types were analyzed to determine which motion parameters are most reliable and expressive for the purpose of generating corresponding full-body animations. Based on this analysis, a compact set of motion features was developed for classifying the locomotion type of a finger performance. A prototype interactive animation system was implemented to generate full-body animations of a known locomotion type from finger walking by estimating the motion path of a finger performance, and editing the path of a corresponding animation to match. The classification accuracy and output animation quality of this system was evaluated in a second user study, demonstrating that satisfying full-body animations can be reliably generated from finger performances. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.2312/SCA/SCA12/043-052 | Symposium on Computer Animation 2004 |
Keywords | Field | DocType |
motion editing,motion parameter,full-body animation,corresponding full-body animation,finger walking,motion feature,user study,locomotion type,contact-based hand performance,full-body motion,comfortable performance method,finger performance,animation | Computer vision,Computer graphics (images),Computer science,Finger tracking,Animation,Artificial intelligence,Motion editing,Interactive animation | Conference |
ISBN | Citations | PageRank |
978-3-905674-37-8 | 14 | 0.64 |
References | Authors | |
25 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Noah Lockwood | 1 | 23 | 2.25 |
| Karan Singh | 2 | 1529 | 76.00 |