The Statistical Meaning of Kurtosis and Its New Application to Identification of Persons Based on Seismic SignalsReport as inadecuate




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Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. China





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Abstract This paper presents a new algorithm making use of kurtosis, which is a statistical parameter, to distinguish the seismic signal generated by a persons 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. View Full-Text

Keywords: Kurtosis; peakedness; tail; seismic signal; person identification Kurtosis; peakedness; tail; seismic signal; person identification





Author: Zhiqiang Liang * , Jianming Wei, Junyu Zhao, Haitao Liu, Baoqing Li, Jie Shen and Chunlei Zheng

Source: http://mdpi.com/



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