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Article

Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform

1
School of Computer Science, Tokyo University of Technology, Tokyo 192-0982, Japan
2
Faculty of Engineering, Information and Systems, University of Tsukuba, Ibaraki 305-8577, Japan
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(22), 6534; https://doi.org/10.3390/s20226534
Received: 10 October 2020 / Revised: 11 November 2020 / Accepted: 13 November 2020 / Published: 16 November 2020
(This article belongs to the Special Issue Sensor Techniques and Methods for Movement Analysis)
Motion capture data are widely used in different research fields such as medical, entertainment, and industry. However, most motion researches using motion capture data are carried out in the time-domain. To understand human motion complexities, it is necessary to analyze motion data in the frequency-domain. In this paper, to analyze human motions, we present a framework to transform motions into the instantaneous frequency-domain using the Hilbert-Huang transform (HHT). The empirical mode decomposition (EMD) that is a part of HHT decomposes nonstationary and nonlinear signals captured from the real-world experiments into pseudo monochromatic signals, so-called intrinsic mode function (IMF). Our research reveals that the multivariate EMD can decompose complicated human motions into a finite number of nonlinear modes (IMFs) corresponding to distinct motion primitives. Analyzing these decomposed motions in Hilbert spectrum, motion characteristics can be extracted and visualized in instantaneous frequency-domain. For example, we apply our framework to (1) a jump motion, (2) a foot-injured gait, and (3) a golf swing motion. View Full-Text
Keywords: motion capture data; motion analysis; motion primitive; feature extraction; Hilbert-Huang transform; empirical mode decomposition; Hilbert spectral analysis motion capture data; motion analysis; motion primitive; feature extraction; Hilbert-Huang transform; empirical mode decomposition; Hilbert spectral analysis
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MDPI and ACS Style

Dong, R.; Cai, D.; Ikuno, S. Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform. Sensors 2020, 20, 6534. https://doi.org/10.3390/s20226534

AMA Style

Dong R, Cai D, Ikuno S. Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform. Sensors. 2020; 20(22):6534. https://doi.org/10.3390/s20226534

Chicago/Turabian Style

Dong, Ran, Dongsheng Cai, and Soichiro Ikuno. 2020. "Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform" Sensors 20, no. 22: 6534. https://doi.org/10.3390/s20226534

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