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Open AccessArticle

On the Noise Complexity in an Optical Motion Capture Facility

1
Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
2
Polish-Japanese Academy of Information Technology, Koszykowa 86, 02-008 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4435; https://doi.org/10.3390/s19204435
Received: 15 September 2019 / Revised: 5 October 2019 / Accepted: 8 October 2019 / Published: 13 October 2019
(This article belongs to the Special Issue Sensors for Biomechanics Application)
Optical motion capture systems are state-of-the-art in motion acquisition; however, like any measurement system they are not error-free: noise is their intrinsic feature. The works so far mostly employ a simple noise model, expressing the uncertainty as a simple variance. In the work, we demonstrate that it might be not sufficient and we prove the existence of several types of noise and demonstrate how to quantify them using Allan variance. Such a knowledge is especially important for using optical motion capture to calibrate other techniques, and for applications requiring very fine quality of recording. For the automated readout of the noise coefficients, we solve the multidimensional regression problem using sophisticated metaheuristics in the exploration-exploitation scheme. We identified in the laboratory the notable contribution to the overall noise from white noise and random walk, and a minor contribution from blue noise and flicker, whereas the violet noise is absent. Besides classic types of noise we identified the presence of the correlated noises and periodic distortion. We analyzed also how the noise types scale with an increasing number of cameras. We had also the opportunity to observe the influence of camera failure on the overall performance. View Full-Text
Keywords: motion capture; evaluation; noise modelling; noise color; Allan variance; simulated annealing; ant colony optimization motion capture; evaluation; noise modelling; noise color; Allan variance; simulated annealing; ant colony optimization
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Skurowski, P.; Pawlyta, M. On the Noise Complexity in an Optical Motion Capture Facility. Sensors 2019, 19, 4435.

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