feature detection - Active frame extraction from motion capture -

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i new area - have background in gait , posture.

i have series of motion files of timestamped coordinates (containing x, y, , z in mm) number of joints (30).

what simplest way extract following motion observations. 1) number of active features (i.e. active joints). 2) average speed of motion.

same file format of nxp. p number of joints , n number of frame observations.

what looking pointers possible areas explore.

regards,

dan

a couple of possibilities might explore - both using free, (and open source), software:

  1. python + numpy/scipy can read in coordinate values , calculate data require - possible plot in 3d using matplotlib.
  2. you use positional data animate stick figure in blender - of test blends provide starting point this.

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