Title
Responsive action generation by physically-based motion retrieval and adaptation
Abstract
Responsive motion generation of avatars who have physical interactions with their environment is a key issue in VR and video games. We present a performance-driven avatar control interface with physically-based motion retrieval. When the interaction between the user-controlled avatar and its environment is going to happen, the avatar has to select the motion clip that satisfies both kinematic and dynamic constraints. A two-steps process is proposed. Firstly, it selects a set of candidate motions according to the performance of the user. Secondly, these candidate motions are further ranked according to their capability to satisfy dynamic constraints such as balance and comfort. The motion associated with the highest score is finally adapted in order to accurately satisfy the kinematic constraints imposed by the virtual world. The experimental results show that it can efficiently control the avatar with an intuitive performance-based interface based on few motion sensors.
Year
DOI
Venue
2010
10.1007/978-3-642-16958-8_29
MIG
Keywords
Field
DocType
dynamic constraint,performance-driven avatar control interface,user-controlled avatar,kinematic constraint,physically-based motion retrieval,motion clip,candidate motion,responsive motion generation,responsive action generation,intuitive performance-based interface,motion sensor,virtual human,virtual worlds,satisfiability
Computer vision,Kinematics,Ranking,Simulation,Computer science,Motion generation,Artificial intelligence,Motion sensors,Virtual actor,Avatar
Conference
Volume
ISSN
ISBN
6459
0302-9743
3-642-16957-0
Citations 
PageRank 
References 
1
0.40
25
Authors
4
Name
Order
Citations
PageRank
Xiubo Liang1132.50
Ludovic Hoyet219027.11
Weidong Geng316221.81
Franck Multon441441.53