Hand Motion Capture

Kitagawa, Midori; Windsor, Brian

doi:10.4324/9780080877945-9

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2022

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“…Motion capture (mocap) systems [1,2] play important roles in modern computer graphics, where they are applied in gaming and movie FX to generate realistic character animations. Prominent applications of mocap systems could also be found in biomechanics and medical sciences [3].…”

Section: Introductionmentioning

confidence: 99%

Detection and Classification of Artifact Distortions in Optical Motion Capture Sequences

Skurowski

Pawlyta

2022

Sensors

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Optical motion capture systems are prone to errors connected to marker recognition (e.g., occlusion, leaving the scene, or mislabeling). These errors are then corrected in the software, but the process is not perfect, resulting in artifact distortions. In this article, we examine four existing types of artifacts and propose a method for detection and classification of the distortions. The algorithm is based on the derivative analysis, low-pass filtering, mathematical morphology, and loose predictor. The tests involved multiple simulations using synthetically-distorted sequences, performance comparisons to human operators (concerning real life data), and an applicability analysis for the distortion removal.

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Section: Introductionmentioning

confidence: 99%