基于地震和声学方法的城市环境人类特征研究综述

J. Sabatier, A. Ekimov
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引用次数: 50

摘要

用地震传感器感应脚步声振动频率(通常低于100赫兹)的技术是非常发达的人体检测方法。行走方式(标准、柔和或隐蔽)和背景噪声底限限制了脚步的探测范围。行走方式改变了人在地面上的动态脚步声力,影响了脚步声的探测范围。城市地区和建筑物的地震本底噪声比农村地区高得多,极大地影响了探测范围。另外,正在开发用于人体检测的高频被动和主动超声方法。脚与地面/地板之间摩擦力产生的高频声音可以在城市地区和建筑物中进行被动脚步声检测。主动方法采用连续波多普勒超声。同时采集多普勒运动和脚步超声信号,揭示了脚步摩擦与人体运动的多普勒频移之间的时序相关特征。通过分析人与其他运动目标的脚步声特征包络来实现人与其他运动目标的区分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Human Signatures in Urban Environments Using Seismic and Acoustic Methods
Techniques for sensing footstep vibrational frequencies, typically below 100 Hz, by seismic sensors are well- developed human detection methods. Walking styles (standard, soft, or stealthy) and the background noise floor limit the detection range of footsteps. Walking style changes the dynamic footstep force on the ground and the influences the footstep detection range. The seismic background noise floor is much higher in urban areas and in buildings than in rural areas, dramatically influencing detection range. Alternatively, high- frequency passive and active ultrasonic methods for human detection are being developed. High-frequency sound produced by friction forces between a foot and the ground/floor allow passive footstep detection in urban areas and in buildings. The active method utilizes continuous-wave Doppler ultrasound. Simultaneously collecting Doppler motion and footstep ultrasonic signals reveals correlated timing features between the footstep friction and the Doppler shift from the human motion. Discrimination between human and other moving targets is accomplished by analyzing the envelopes of footstep signatures.
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