Title
Virtually Cloning Real Human with Motion Style.
Abstract
Our goal is to capture style from real human motion so it can be rendered with a virtual agent that represents this human user. We used expressivity parameters to describe motion style. As a first contribution, we propose an approach to estimate a subset of expressivity parameters defined in the literature (namely spatial extent and temporal extent) from captured motion trajectories. Second, we capture the expressivity of real users and then output it to the Greta engine that animates a virtual agent representing the user. We experimentally demonstrate that expressivity can be another clue for identifiable virtual clones of real humans.
Year
DOI
Venue
2011
10.1007/978-3-642-31603-6_11
PROCEEDING OF THE THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN COMPUTER INTERACTION (IHCI 2011)
Field
DocType
Volume
Computer vision,Computer graphics (images),Virtual agent,Computer science,Human motion,Artificial intelligence,Spatial extent,Expressivity
Conference
179
ISSN
Citations 
PageRank 
2194-5357
1
0.36
References 
Authors
12
3
Name
Order
Citations
PageRank
Manoj Kumar Rajagopal151.21
Patrick Horain2485.75
Catherine Pelachaud32706279.88