Performance-based control interfaces using mixture of factor analyzers

The Visual Computer (Impact Factor: 0.96). 06/2011; 27(6):595-603. DOI: 10.1007/s00371-011-0563-1
Source: DBLP


This paper introduces an approach to performance animation that employs a small number of inertial measurement sensors to
create an easy-to-use system for an interactive control of a full-body human character. Our key idea is to construct a global
model from a prerecorded motion database and utilize them to construct full-body human motion in a maximum a posteriori framework
(MAP). We have demonstrated the effectiveness of our system by controlling a variety of human actions, such as boxing, golf
swinging, and table tennis, in real time. One unique property of our system is its ability to learn priors from a large and
heterogeneous motion capture database and use them to generate a wide range of natural poses, a capacity that has not been
demonstrated in previous data-driven character posing systems.

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