Thanks to recent studies on the relationship between joint center locations, external body shape, and landmark positions, we can build a personalized kinematic human model in standing posture. It is, however, challenging to position it into a seated posture. This is particularly true for positioning the pelvis and spine due to the high number of degrees of freedom (DOF) involved and the very low number of anatomical landmarks available for palpation/motion capture. This is an under-determined problem. A priori knowledge is needed to find anatomically correct solutions. One way is to reduce the DOFs of the spine model by either not allowing all intervertebral joint rotate freely or introducing relationships between them. Earlier researchers reduced spinal DOFs from 51 to 5 by defining kinematic constraints and showed that a 5DOF-simplified model could produce smooth spine motions, while others used the relationships between spinal joint angles, called spinal coordination laws, to prevent unrealistic postures in motion reconstruction process. However, evidence-based statistical models are missing. The objective of this paper is to investigate the variation of spinal joint angles when changing posture and to identify spinal coordination laws.
Keywords: spinal coordination law, non-standard anatomical postures, digital human model repositioning
How to Cite:
Shayegan, S. & Wang, X., (2022) “Definition of spinal joint coordination laws for repositioning a digital human model based on MRI observations in four different postures”, Proceedings of the 7th International Digital Human Modeling Symposium 7(1): 25, 3 pages. doi: https://doi.org/10.17077/dhm.31771
Rights: Copyright © 2022 the author(s)