|Table of Contents|

Feature analysis of human factor component from chaotic signal

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2016年02期
Page:
212-
Research Field:
Publishing date:

Info

Title:
Feature analysis of human factor component from chaotic signal
Author(s):
Jin Xin1Zhou Kedong1He Lei1Huang Xueying2Zhang Junbin2
1.School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China; 2.63856 Unit of PLA,Baicheng 137001,China
Keywords:
signal analysis chaotic signal Hilbert-Huang transform Teager energy operator human factor component
PACS:
TJ22
DOI:
10.14177/j.cnki.32-1397n.2016.40.02.013
Abstract:
A method for analyzing the feature of human factor component from a chaotic signal is proposed based on the Hilbert-Huang transform(HHT)method and the Teager energy operator.The HHT method is used to get the Hilbert spectrum of a chaotic signal and the Teager energy of the Hilbert spectrum is extracted,then the Hilbert marginal Teager energy spectrum is calculated.The characteristic frequency is obtained by analyzing the marginal Teager energy spectrum.The amplitude-time spectrum of the human factor component is calculated by the inverse operation of HHT.Analysis results show that marginal Teager energy spectrum has a good recognition result for the human factor component from the experimental chaotic signal.Surface electromyography experiment results show that the amplitude-time spectrum of the human factor component has the congruent relationship with the actual muscle state.The proposed method is of great importance for the study of human biomechanics under successive impacts.

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Last Update: 2016-04-30