4.6 Article

Noise Reduction in Human Motion-Captured Signals for Computer Animation based on B-Spline Filtering

Journal

SENSORS
Volume 22, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/s22124629

Keywords

motion capture; motion data processing; digital signal processing; motion smoothing; motion denoising; B-splines

Funding

  1. Hong Kong Innovation and Technology Commission (InnoHK Project CIMDA)
  2. Hong Kong Research Grants Council [11204821]
  3. City University of Hong Kong [9610034]

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This study analyzed several common methods for smoothing signals and found that filtering based on the B-spline-based least square method can achieve high-quality outputs for various motion signals.
Motion capturing is used to record the natural movements of humans for a particular task. The motions recorded are extensively used to produce animation characters with natural movements and for virtual reality (VR) devices. The raw captured motion signals, however, contain noises introduced during the capturing process. Therefore, the signals should be effectively processed before they can be applied to animation characters. In this study, we analyzed several common methods used for smoothing signals. The smoothed signals were then compared based on the smoothness metrics defined. It was concluded that the filtering based on the B-spline-based least square method could achieve high-quality outputs with predetermined continuity and minimal parameter adjustments for a variety of motion signals.

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