The Statistical Meaning of Kurtosis and Its New Application to Identification of Persons Based on Seismic Signals

Sensors

Zhiqiang Liang¹  Jianming Wei²  Junyu Zhao²  Haitao Liu²  Baoqing Li²  Jie Shen² 

[1] id="af1-sensors-08-05106">Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. Chi

关键词: Kurtosis;    peakedness;    tail;    seismic signal;    person identification;   

DOI  :  10.3390/s8085106

来源: mdpi

【 摘 要 】

This paper presents a new algorithm making use of kurtosis, which is a statistical parameter, to distinguish the seismic signal generated by a person's footsteps from other signals. It is adaptive to any environment and needs no machine study or training. As persons or other targets moving on the ground generate continuous signals in the form of seismic waves, we can separate different targets based on the seismic waves they generate. The parameter of kurtosis is sensitive to impulsive signals, so it's much more sensitive to the signal generated by person footsteps than other signals generated by vehicles, winds, noise, etc. The parameter of kurtosis is usually employed in the financial analysis, but rarely used in other fields. In this paper, we make use of kurtosis to distinguish person from other targets based on its different sensitivity to different signals. Simulation and application results show that this algorithm is very effective in distinguishing person from other targets.

【 授权许可】

CC BY   
© 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.