Computer 3D Spectral Analysis of Human Movements

In the world of digital human figures moving through the virtual space there is a little mathematical information about dynamic properties. In the aim to overcome this limitations, 3D human body virtual model consisting of 14 segments has been developed and validated against camera motion capturing of the real human model. The dynamic mass properties of this virtual model have been expressed via tensor of inertia, and model motion has been correlated to the space-time transformation of this tensor. As this tensor has 9 components, there is a huge amount of data that should be processed when doing transformations. By using evolution operators and their spectral properties, we were able to express 3D human body movements with metadata that fit into the realm of 2D computer interface and are suitable for the analysis.