The output of the Zone Differentiation Analysis takes into consideration all current settings, including the human performance measures and constraints in the predictive model, the size of the target avatar, the avatar’s range of motion and strength, collision and vision requirements, and the need to remain in balance relative to the external forces currently defined, just to name a few.
The values in the Posture Analyzer window provide insight into specific human performance measures for any currently exhibited behavior which may have been predicted, or created by manually manipulating the individual joints, or even taken as a one moment in time from a motion capture study. While the zone differentiation results include the effect the human performance measures have on any predicted behavior there is no unique correlation between the values shown in the posture analyzer window and any given zone differentiation result.
There are post-processing capabilities that allow you to extract samples from an existing zone differentiation analysis based on the mean or n standard deviations from the mean. This may be useful depending on your evaluation goals.