Human Gait Signal Analysis Using Time-Frequency Distribution with Complex-Lag

Li Wu; Yue Yang; Lei Wang; Shu Sheng Peng

doi:10.4028/www.scientific.net/AMM.411-414.1535

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Human Gait Signal Analysis Using Time-Frequency...

Human Gait Signal Analysis Using Time-Frequency Distribution with Complex-Lag

Abstract:

As a novel biometric identification technology, human gait recognition has wide applications in public security and other fields. Aiming to solving problems of conventional Time-Frequency analysis of human gait signal, the paper presented a processing method that adopts time-frequency distribution with complex-lag. Firstly, the human walking Doppler signal model and the principle of time-frequency distribution with complex-lag were introduced. Then the signal based on the model was generated and was analyzed utilizing Spectrogram, WVD and time-frequency distribution with complex-lag. The results show that the presented method has the best performance since its high time-frequency concentration and less cross-terms disturbances.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1535-1538

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1535

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Online since:

September 2013

Authors:

Li Wu, Yue Yang, Lei Wang, Shu Sheng Peng

Keywords:

Gait Feature, Human Gait Identification, Time-Frequency Distribution with Complex-Lag

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