Name
Abstract | ||
|---|---|---|
Conventional model-based hand gesture analysis systems require high computation cost to solve the finger inverse kinematics that makes them very difficult for real-time implementation. In this paper, we propose a fast hand model fitting method for the tracking of hand motion. The model fitting method consists of (1) finding the closed-form inverse kinematics solution for the finger fitting process, and (2) defining the alignment measure for the wrist fitting process. In the experiments, we illustrate that our hand model fitting method is effective and real-time implementable. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1016/S0262-8856(97)00041-3 | Image and Vision Computing |
Keywords | Field | DocType |
Model-based,Gesture recognition,Real-time implementable hand motion tracking,Finger inverse kinematics | Computer vision,Kinematics,Inverse kinematics,Computer science,Gesture,Image processing,Gesture recognition,Artificial intelligence,Motion estimation,Match moving,Computation | Journal |
Volume | Issue | ISSN |
16 | 2 | 0262-8856 |
Citations | PageRank | References |
32 | 2.16 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cheng-Chang Lien | 1 | 128 | 13.15 |
| Chung-Lin Huang | 2 | 540 | 37.61 |