“Dance motion analysis and editing using hilbert-huang transform” by Dong, Cai and Asai
Conference:
Type(s):
Entry Number: 75
Title:
- Dance motion analysis and editing using hilbert-huang transform
Session/Category Title: Don't Be Scared - It's Only Math
Presenter(s)/Author(s):
Abstract:
Human motions (especially, dance motions) are very noisy and it is difficult to analyze the motions. To resolve this problem, we propose a new method to decompose and edit the motions using the Hilbert-Huang transform (HHT). The HHT decomposes a chromatic signal into “monochromatic” signals that are the so-called Intrinsic Mode Functions (IMFs) using an Empirical Mode Decomposition (EMD)[Huang 2014]. The HHT has the advantage to analyze non-stationary and nonlinear signals like human joint motions over the FFT or Wavelet transform. In the present research, we propose a new framework to analyze a famous Japanese threesome pop singer group “Perfume”. Then using the NA-MEMD, we decompose dance motions into motion (choreographic) primitives or IMFs, which can be scaled, combined, subtracted, exchanged, and modified self-consistently.
References:
Ronald Newbold Bracewell and Ronald N Bracewell. 1986. The Fourier transform and its applications. Vol. 31999. McGraw-Hill New York.Google Scholar
Norden Eh Huang. 2014. Hilbert-Huang transform and its applications. Vol. 16. World Scientific.Google Scholar
J Niu, Y Liu, W Jiang, X Li, and G Kuang. 2012. Weighted average frequency algorithm for Hilbert-Huang spectrum and its application to micro-Doppler estimation. IET Radar, Sonar & Navigation 6, 7 (2012), 595–602.
