  Balance, gait and postural control are some of the key factors in determining
the overall stability of an individual. Several highend and costly solutions
exist to perform movement analysis in clinical settings. OpenSim is a tool
which uses 39 marker positions, obtained from such highend solutions like VICON
or equivalent multicamera setup, for the analysis of inverse kinematics and
inverse dynamics. However, an affordable solution for deriving musculoskeletal
joint kinematics parameters using a low cost Kinect device is of immense
importance. In this paper, we initially study the feasibility of using OpenSim
tool on 20 joint locations of human being, obtained from Kinect data. Next, we
analyze the various joint forces and torques experienced during a Single Limb
Stance (SLS) exercise performed by healthy subjects in normal, overweight and
obese categories. Results indicate that a subset of parameters related to
forces and torque in hip, lumber and pelvis are the most important ones that
contribute significantly in maintaining static balance in SLS. Statistical
analysis demonstrates that the pelvis list and tilt moments are the key
biomarkers for maintaining the statibility in SLS, thus leading to a
possibility of personalizing the therapy in tele-rehabilitation.
