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The successful development of a soft-sensor whose performance does not deteriorate with time and changing process characteristics is troublesome and only seldom achieved in real-world setups.
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In addition to the analytical evaluation of throughput, we validate the results in a real-world setup.
Currently, we are developing a three-camera real-world setup to capture movies of adult Drosophila flies.
An example is provided showing how to assess the inaccuracies in PSCL calculation for a real-world setup.
To support a viability of the adaptive constellation mapping scheme, we again evaluate the system performance in the HW real-world setup.
In addition to the analytically evaluated throughput (lower-bound) T LB (9) we also include the result of a numerical Monte-Carlo evaluation of throughput (T sim) over 104 frames (Figs. 6, 7, 8, and 9) and throughput T USRP evaluated by the HW real-world setup (Figs. 8 and 9).
By necessity a causal model of any real-world setup will leave out many details.
We validate the proposed design in a real-world hardware (HW) setup, including the HW evaluation of adaptive system performance.
Fig. 11 Comparison of T LB and the throughput performance evaluated in a real-world adaptive HW setup (T USRP) for γ BC=20 dB.
Above: laboratory setups; bottom: real-world installations.
Visuo-manual tracking tasks have been studied since the early 70s [10] in order to measure human motor control and movement performance in a variety of laboratory setups and real-world skills.
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