基于dnn的基于IEEE 802.11ac WLAN信号的室外NLOS人体检测

R. Takahashi, S. Ishida, Akira Fukuda, T. Murakami, S. Otsuki
{"title":"基于dnn的基于IEEE 802.11ac WLAN信号的室外NLOS人体检测","authors":"R. Takahashi, S. Ishida, Akira Fukuda, T. Murakami, S. Otsuki","doi":"10.1109/SENSORS43011.2019.8956943","DOIUrl":null,"url":null,"abstract":"Recently, WLAN-based wireless sensing technologies, which utilize WLAN devices widely used in many environments, have been focused because of their low deployment cost. We have presented an outdoor human detector using IEEE802.11ac channel state information (CSI) for line-of-sight (LOS) scenarios in our previous work [1]. In this paper, we extend our previous work and present a CSI-based human detection system for outdoor non-line-of-sight (NLOS) scenarios. The key idea is to utilize CSI retrieved by multiple devices and extracted key features using principal component analysis (PCA) for sensing to avoid unstable detection performance. Experimental evaluations revealed that our human detection system for NLOS scenarios successfully located a human with an accuracy of 99.58 % using four WLAN stations.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"69 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"DNN-based Outdoor NLOS Human Detection Using IEEE 802.11ac WLAN Signal\",\"authors\":\"R. Takahashi, S. Ishida, Akira Fukuda, T. Murakami, S. Otsuki\",\"doi\":\"10.1109/SENSORS43011.2019.8956943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, WLAN-based wireless sensing technologies, which utilize WLAN devices widely used in many environments, have been focused because of their low deployment cost. We have presented an outdoor human detector using IEEE802.11ac channel state information (CSI) for line-of-sight (LOS) scenarios in our previous work [1]. In this paper, we extend our previous work and present a CSI-based human detection system for outdoor non-line-of-sight (NLOS) scenarios. The key idea is to utilize CSI retrieved by multiple devices and extracted key features using principal component analysis (PCA) for sensing to avoid unstable detection performance. Experimental evaluations revealed that our human detection system for NLOS scenarios successfully located a human with an accuracy of 99.58 % using four WLAN stations.\",\"PeriodicalId\":6710,\"journal\":{\"name\":\"2019 IEEE SENSORS\",\"volume\":\"69 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE SENSORS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SENSORS43011.2019.8956943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE SENSORS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORS43011.2019.8956943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

近年来,基于WLAN的无线传感技术以其低廉的部署成本成为人们关注的焦点。在我们之前的工作[1]中,我们已经提出了一种使用IEEE802.11ac通道状态信息(CSI)用于视距(LOS)场景的户外人体探测器。在本文中,我们扩展了之前的工作,并提出了一个基于csi的户外非视线(NLOS)场景的人体检测系统。关键思想是利用多个设备检索到的CSI,并利用主成分分析(PCA)提取关键特征进行传感,以避免检测性能不稳定。实验评估表明,我们的NLOS场景人体检测系统使用4个WLAN站点成功定位人类,准确率为99.58%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
DNN-based Outdoor NLOS Human Detection Using IEEE 802.11ac WLAN Signal
Recently, WLAN-based wireless sensing technologies, which utilize WLAN devices widely used in many environments, have been focused because of their low deployment cost. We have presented an outdoor human detector using IEEE802.11ac channel state information (CSI) for line-of-sight (LOS) scenarios in our previous work [1]. In this paper, we extend our previous work and present a CSI-based human detection system for outdoor non-line-of-sight (NLOS) scenarios. The key idea is to utilize CSI retrieved by multiple devices and extracted key features using principal component analysis (PCA) for sensing to avoid unstable detection performance. Experimental evaluations revealed that our human detection system for NLOS scenarios successfully located a human with an accuracy of 99.58 % using four WLAN stations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Identification of Legionella Species by Photogate-Type Optical Sensor A Nano-Watt Dual-Mode Address Detector for a Wi-Fi Enabled RF Wake-up Receiver Optical Feedback Interferometry imaging sensor for micrometric flow-patterns using continuous scanning DNN-based Outdoor NLOS Human Detection Using IEEE 802.11ac WLAN Signal Disconnect Switch Position Sensor Based on FBG
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1