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Nonlinear dance motion analysis and motion editing using Hilbert-Huang transform
Human motions (especially dance motions) are very noisy, and it is hard to
analyze and edit the motions. To resolve this problem, we propose a new method
to decompose and modify the motions using the Hilbert-Huang transform (HHT).
First, HHT decomposes a chromatic signal into "monochromatic" signals that are
the so-called Intrinsic Mode Functions (IMFs) using an Empirical Mode
Decomposition (EMD) [6]. After applying the Hilbert Transform to each IMF, the
instantaneous frequencies of the "monochromatic" signals can be obtained. The
HHT has the advantage to analyze non-stationary and nonlinear signals such as
human-joint-motions over FFT or Wavelet transform.
In the present paper, we propose a new framework to analyze and extract some
new features from a famous Japanese threesome pop singer group called
"Perfume", and compare it with Waltz and Salsa dance. Using the EMD, their
dance motions can be decomposed into motion (choreographic) primitives or IMFs.
Therefore we can scale, combine, subtract, exchange, and modify those IMFs, and
can blend them into new dance motions self-consistently. Our analysis and
framework can lead to a motion editing and blending method to create a new
dance motion from different dance motions.Comment: 6 pages, 10 figures, Computer Graphics International 2017, Conference
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