Ultrasonic Intruder Detection System for Home Security

Yue Peng Li; Jun Yang; Xiao Dong Li; Jing Tian

doi:10.1007/978-3-540-37256-1_143

Ultrasonic Intruder Detection System for Home Security

Yue Peng Li, Jun Yang, Xiao Dong Li, Jing Tian

CAS - Institute of Acoustics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

This paper describes a new intrusion detection system in the indoor environment, which is based on the airborne sonar technology and pattern classification. It utilizes an ultrasonic transmitter and a receiver to receive the pulse-echo. The simplest feature of echoes, envelope is extracted to train and test the pattern classifiers. The correct classification rates of K-nearest-neighbor (KNN) and Back-Propagation (BP) network classifiers are compared in this paper. Experiment results show that this system has a good performance on the intrusion detection.

Original language	English
Title of host publication	Lecture Notes in Control and Information Sciences
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1108-1115
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-540-37256-1_143
Publication status	Published - 2006
Externally published	Yes

Publication series

Name	Lecture Notes in Control and Information Sciences
Volume	344
ISSN (Print)	0170-8643
ISSN (Electronic)	1610-7411

Bibliographical note

Publisher Copyright:
© 2006, Springer-Verlag Berlin Heidelberg.

ASJC Scopus Subject Areas

Library and Information Sciences

Keywords

Correct Classification
Correct Classification Rate
False Alarm
Intrusion Detection
Intrusion Detection System

Access to Document

10.1007/978-3-540-37256-1_143

Cite this

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abstract = "This paper describes a new intrusion detection system in the indoor environment, which is based on the airborne sonar technology and pattern classification. It utilizes an ultrasonic transmitter and a receiver to receive the pulse-echo. The simplest feature of echoes, envelope is extracted to train and test the pattern classifiers. The correct classification rates of K-nearest-neighbor (KNN) and Back-Propagation (BP) network classifiers are compared in this paper. Experiment results show that this system has a good performance on the intrusion detection.",

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TY - CHAP

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AU - Yang, Jun

AU - Li, Xiao Dong

AU - Tian, Jing

PY - 2006

Y1 - 2006

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AB - This paper describes a new intrusion detection system in the indoor environment, which is based on the airborne sonar technology and pattern classification. It utilizes an ultrasonic transmitter and a receiver to receive the pulse-echo. The simplest feature of echoes, envelope is extracted to train and test the pattern classifiers. The correct classification rates of K-nearest-neighbor (KNN) and Back-Propagation (BP) network classifiers are compared in this paper. Experiment results show that this system has a good performance on the intrusion detection.

KW - Correct Classification

KW - Correct Classification Rate

KW - False Alarm

KW - Intrusion Detection

KW - Intrusion Detection System

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PB - Springer Science and Business Media Deutschland GmbH

ER -

Ultrasonic Intruder Detection System for Home Security

Abstract

Publication series

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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