The measurement of human motion is important in clinical applications.
In particular, the progression and management of conditions like Parkinson’s
Disease can be greatly improved through regular assessment of motor
symptoms. Accurate motion capture systems are often expensive and
require fitting the subject with markers. In contrast, the system described
here employs successive layers of constraints applied to videos of the subject
to constrain processing and measure motion.
