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Sensors 2008, 8(8), 5106-5119; doi:10.3390/s8085106

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

Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. China
Author to whom correspondence should be addressed.
Received: 14 July 2008 / Revised: 14 August 2008 / Accepted: 20 August 2008 / Published: 27 August 2008
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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. View Full-Text
Keywords: Kurtosis; peakedness; tail; seismic signal; person identification Kurtosis; peakedness; tail; seismic signal; person identification

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Liang, Z.; Wei, J.; Zhao, J.; Liu, H.; Li, B.; Shen, J.; Zheng, C. The Statistical Meaning of Kurtosis and Its New Application to Identification of Persons Based on Seismic Signals. Sensors 2008, 8, 5106-5119.

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