Dance motion analysis and editing using hilbert-huang transform

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

1. Ronald Newbold Bracewell and Ronald N Bracewell. 1986. The Fourier transform and its applications. Vol. 31999. McGraw-Hill New York.
2. Norden Eh Huang. 2014. Hilbert-Huang transform and its applications. Vol. 16. World Scientific.
3. 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.

Index Terms

• Computing methodologies

  • Artificial intelligence

    • Computer vision

      • Image and video acquisition

        • Motion capture

  • Computer graphics

    • Animation

      • Motion processing

• Mathematics of computing

  • Mathematical analysis