Name
Abstract | ||
|---|---|---|
This paper presents a novel approach for modeling features of style and affect in human motion. Our approach is based on inputs collected from experienced animators. For this purpose, an interface is developed that allows for editing of motion sequences by adding a limited number of Gaussian radial basis functions (RBFs) to different joint trajectories in 3-D Cartesian space. Animators are asked t... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/THMS.2016.2537760 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Computational modeling,Data models,Legged locomotion,Man machine systems,Shape,Animation,Kinematics | Data modeling,Computer vision,Kinematics,Computer science,Inversion (meteorology),Human motion,Animation,Artificial intelligence,Perception,Machine learning,Scalability,Cartesian coordinate system | Journal |
Volume | Issue | ISSN |
46 | 4 | 2168-2291 |
Citations | PageRank | References |
6 | 0.47 | 26 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Ali Etemad | 1 | 55 | 4.94 |
| Ali Arya | 2 | 110 | 20.31 |