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Email to: Brian Umberger

The following are the primary tools that are used in my research into human movement.


Motion Capture
An eight-camera system is used to track the motion of reflective markers that are placed over the segments and joints of interest. This provides a complete time-history of the motion of the major body segments.
qualisys motion capture
 
 
Force Measurement
A force plate is used to measure the forces generated between the subject and the ground. Together with the motion data described above, this allows us to compute the internal forces and moments in the body.
AMTI force plate
 
 
Electromyography
Muscle activation timing and amplitude are monitored using small electrodes that are placed on the skin over the muscles of interest. This gives additional insight as to how muscles are contributing to a movement.
Delsys EMG System
 
 
Energy Expenditure
Metabolic energy consumption is estimated non-invasively from measurements of the amount of oxygen consumed and the amount of carbon dioxide that is produced.
Metabolic Cart
 
 
Magnetic Resonance & Ultrasound
The structure and function of the musculoskeletal system is determined on living subjects using a combination of magnetic resonance imaging, magnetic resonance spectroscopy, and ultrasound.
Muscle MRI


 
Dynamic Modeling
The equations of motion for the human body are derived using a symbolic manipulator (Autolev). The computer code that is generated is interfaced with custom-written software for muscle dynamics.
Autolev
 
 
Musculoskeletal Geometry
Musculoskeletal models are developed with the aid of software (SIMM) that allows one to define the arrangement of bones, joints, and muscles. This information is integrated into the dynamics models described above.
Musculoskeletal Geometry
 
 
Animation
The results of a simulation can be immediately visualized to see how the generated movement 'looks'. This sort of assessment can be just as important and instructive as detailed numerical analyses.
Jumping Animation
 
 
Computation
Most computationally intensive problems can be solved in-house using a nine node computer cluster. For even larger problems, there is access to other on-campus and off-campus computational facilities.
Picture of cluster