Name
Title | ||
|---|---|---|
Challenges in exploiting prioritized inverse kinematics for motion capture and postural control |
Abstract | ||
|---|---|---|
In this paper we explore the potential of Prioritized Inverse Kinematics for motion capture and postural control. We have two goals in mind: reducing the number of sensors to improve the usability of such systems, and allowing interactions with the environment such as manipulating objects or managing collisions on the fly. To do so, we enforce some general constraints such as balance or others that we can infer from the intended movement structure. On one hand we may loose part of the expressiveness of the original movement but this is the price to pay to ensure more precise interactions with the environment. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11678816_21 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
precise interaction,general constraint,motion capture,original movement,postural control,prioritized inverse kinematics,intended movement structure,gesture recognition,kinematics,computer animation,motion estimation,inverse kinematics,virtual reality | Motion capture,Motion control,Kinematics,Inverse kinematics,Computer science,Usability,Gesture recognition,Human–computer interaction,Artificial intelligence,Motion estimation,User interface,Distributed computing | Conference |
Volume | ISSN | ISBN |
3881 | 0302-9743 | 3-540-32624-3 |
Citations | PageRank | References |
3 | 0.45 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ronan Boulic | 1 | 1325 | 147.71 |
| Manuel Peinado | 2 | 50 | 4.09 |
| Benoît Le Callennec | 3 | 59 | 4.22 |