title: The Statistical Meaning of Kurtosis and Its New Application to Identification of Persons Based on Seismic Signals.
abstract: 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.
authors.affiliation: Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. China. lucklzq@126.com.
authors.forename: Zhiqiang
authors.initials: Z
authors.lastname: Liang
authors.affiliation: Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. China. weijm@mail.sim.ac.cn.
authors.forename: Jianming
authors.initials: J
authors.lastname: Wei
authors.affiliation: Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. China. junyuzhao@126.com.
authors.forename: Junyu
authors.initials: J
authors.lastname: Zhao
authors.affiliation: Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. China. lht@mail.sim.ac.cn.
authors.forename: Haitao
authors.initials: H
authors.lastname: Liu
authors.affiliation: Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. China.
authors.forename: Baoqing
authors.initials: B
authors.lastname: Li
authors.affiliation: Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. China.
authors.forename: Jie
authors.initials: J
authors.lastname: Shen
authors.affiliation: Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, P.R. China.
authors.forename: Chunlei
authors.initials: C
authors.lastname: Zheng
keywords: Kurtosis; peakedness; person identification; seismic signal; tail