This research introduces a stochastic framework for
evaluating and comparing the expected performance of
sensing systems for interactive computer graphics.
Incorporating models of the sensor devices and
expected user motion dynamics, this framework enables
complementary system- and measurement-level hardware
information optimization, independent of algorithm
and motion paths. The approach for system-level
optimization is to estimate the asymptotic position
and/or orientation uncertainty at many points
throughout a desired working volume or surface, and
to visualize the results graphically....