Abstract
In this paper we present a constrained inverse kinematics algorithm for real-time motion capture in virtual environments, that has its origins in the simulation of multi-body systems. We apply this algorithm to an articulated human skeletal model using an electromagnetic motion tracking system with a small number of sensors to create avatar postures. The method offers efficient inverse kinematics computation and it is also generalised for the configurations of an articulated skeletal model. We investigate the possibility of capturing fast gestures by analysing the convergence patterns of the algorithm with the motion tracking sampling frequency for a range of actions.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Tang, W., Cavazza, M., Mountain, D. et al. A constrained inverse kinematics technique for real-time motion capture animation. The Visual Computer 15, 413–425 (1999). https://doi.org/10.1007/s003710050188
Published:
Issue Date:
DOI: https://doi.org/10.1007/s003710050188