Sensors | |
Noise Reduction in Human Motion-Captured Signals for Computer Animation based on B-Spline Filtering | |
Mehdi Memar Ardestani1  Hong Yan1  | |
[1] Center for Intelligent Multidimensional Data Analysis, Hong Kong Science Park, Shatin, Hong Kong; | |
关键词: motion capture; motion data processing; digital signal processing; motion smoothing; motion denoising; B-splines; | |
DOI : 10.3390/s22124629 | |
来源: DOAJ |
【 摘 要 】
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.
【 授权许可】
Unknown