In this paper, we present an analytic-iterative Inverse Kinematics (IK) method, called Sequential lK (SIK), that reconstructs 3D human full-body movements in real time. The input data for the reconstruction is the least possible (i.e., the positions of wrists, ankles, head and pelvis) in order to be usable within a low-cost human motion capture system that Would track only these six features. The performance of our approach is compared to other well-known IK methods in reconstruction quality and computation time obtaining satisfactory results for both. The paper first describes how we handle the spine and the clavicles before offering a simple joint limit model for ball-and-socket joints and a method to avoid self-collisions induced by the elbow. The second part focuses on the algorithms comparison study. (c) 2008 Elsevier Inc. All rights reserved.
Mark Pauly, Ladislav Kavan, Alexandru Eugen Ichim, Merlin Eléazar Nimier-David