Revealed are the algorithms for a purely objective, reliable and reproducible mobility assessment tool (MAT) system with computerized fuzzy-logic algorithms that administer complex bio- mechanical assessments of a subject's static and dynamic balance and locomotion during performing 8 movements, by the administration of those algorithms to the skeleton nodal data stream representation of the movements derived from the 3-D video data stream observations or recordings of the subject performing the movements according to established kinesiology mobility standards. Each specific movement is measured as a function of 13 specific features' values that are determined by that function's algorithms for which there are adjustable parameters that allow calibrating the range limits of each feature's value of the assessments for select populations including gender, age, athleticism, and injury or disease subgroups.
