Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > ACP > 2009 > WL > WL96

Walking Intrusion Signal Recognition Method for Fiber Fence System

Nian Fang, Lutang Wang, Dongjian Jia, Chao Shan, and Zhaoming Huang

Not Accessible

Your library or personal account may give you access

Abstract

A recognition method based on the gait characteristic for walking intrusion signal is presented. The vibration signal caused by a walker is intermittent and periodical. This signal characteristic can distinguish a human intrusion from an animal and other random disturbance. The experimental results verified the effectiveness of the proposed method.

© 2009 OSA, IEEE Photonics Society, SPIE, COS, CIC

PDF Article
More Like This
High Accuracy Intrusion Pattern Recognition using a Dual-Stage-Recognition Network for Fiber Optic Distributed Sensing System

Tao He, Yijie Liu, Shixiong Zhang, Zhijun Yan, Deming Liu, and Qizhen Sun
JW1A.119 CLEO: Applications and Technology (CLEO:A&T) 2021

An intrusion events recognition method by incremental learning assisted with fiber optic DAS system

Shixiong Zhang, Tao He, Kai xiao, Cunzheng Fan, Hao Li, Zhijun Yan, Deming Liu, and Qizhen Sun
JW3A.22 CLEO: Applications and Technology (CLEO:A&T) 2022

A Modified Data Augmentation Integration Method for Intrusion Recognition Assisted with Fiber Optic DAS System

Shixiong Zhang, Tao He, Hao Li, Kai Xiao, Cunzheng Fan, Zhijun Yan, and Qizhen Sun
AW4I.6 CLEO: Applications and Technology (CLEO:A&T) 2023

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use