Journal Article10.5573/IEEK.2013.50.7.258
Target Detection Algorithm Based on Seismic Sensor for Adaptation of Background Noise
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TL;DR: Adapt detection algorithm to reduce a false alarm by considering the characteristics of the random noise on the detection system based on a seismic sensor using kernel function and the second step detection using detection classes is proposed.
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Abstract: We propose adaptive detection algorithm to reduce a false alarm by considering the characteristics of the random noise on the detection system based on a seismic sensor. The proposed algorithm consists of the first step detection using kernel function and the second step detection using detection classes. Kernel function of the first step detection is obtained from the threshold of the Neyman-Pearon decision criterion using the probability density functions varied along the noise from the measured signal. The second step detector consists of 4 step detection class by calculating the occupancy time of the footstep using the first detected samples. In order to verify performance of the proposed algorithm, the detection of the footsteps using measured signal of targets (walking and running) are performed experimentally. The detection results are compared with a fixed threshold detector. The first step detection result has the high detection performance of 95% up to 10m area. Also, the false alarm probability is decreased from 40% to 20% when it is compared with the fixed threshold detector. By applying the detection class(second step detector), it is greatly reduced to less than 4%.
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Citations
Footstep Detection and Classification Algorithms based Seismic Sensor
TL;DR: It is claimed that 90% of the people affected by the Ukraine crisis believe that the crisis should have been handled differently than it was.
Target Path Detection Algorithm Using Activation Time Lag of PDR Sensors Based on USN
TL;DR: The proposed target path detection algorithm using statistical characteristics of an activated time lag along a moving path of target from a neighboring sensor in PDR sensor node environment based on USN with a limitation detecting only an existence of moving target.
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진동센서를 이용한 이동자의 걸음걸이 분류
TL;DR: In this article, the authors proposed an algorithm to find the footstep classification of person movement using seismic sensor using a field study were conducted at Jeju national university, to document seismic signature of a person who is walking crawling and running in ground.
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