标题:Research on Recognition of Criminal Suspects Based on Foot Sounds
作者:Liu, Fuxiang; Jiang, Qi
通讯作者:Liu, FX
作者机构:[Liu, Fuxiang; Jiang, Qi] Shandong Univ, Sch Control Sci & Engn, Jinan, Shandong, Peoples R China.
会议名称:IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
会议日期:MAR 15-17, 2019
来源:PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019)
出版年:2019
页码:1347-1351
DOI:10.1109/ITNEC.2019.8729307
关键词:footstep sound signal; personnel identification; frequeney domain; feature; MFCC
摘要:There are two main contributions in this paper: Firstly, by analyzing the frequency domain features and MeI domain features, we can identify footstep events and non-footstep events. Secondly, we compared the two footstep sound signals of the same person in frequency domain under different experimental conditions, finding that almost all of their peak frequencies and trough frequencies in the main frequency band are respectively corresponding one-to-one. However for the two different people, even under the same experimental conditions, it is difficult to have the same peak frequencies and trough frequencies in the main frequency band of their footstep sound signals. Therefore, this feature of footstep sound signals can be used to identify different people.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067895029&doi=10.1109%2fITNEC.2019.8729307&partnerID=40&md5=2d6948c00c56d2bfce2db7abf5869e8b
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