基于Wi-Fi信号的身份识别技术研究

魏忠诚; 张新秋; 连彬; 王巍; 赵继军

doi:10.11959/j.issn.2096-3750.2021.00213

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基于Wi-Fi信号的身份识别技术研究

理论与技术 | 更新时间：2024-06-05

- 基于Wi-Fi信号的身份识别技术研究
- A survey on Wi-Fi signal based identification technology
- 物联网学报 2021年5卷第4期页码：107-119
- 作者机构：
  
  1. 河北工程大学信息与电气工程学院，河北邯郸 056038
  2. 河北省安防信息感知与处理重点实验室，河北邯郸 056038
  3. 河北工程大学水利水电学院，河北邯郸 056038
- 作者简介：
  
  [ "魏忠诚（1987− ），男，博士，河北工程大学信息与电气工程学院副教授，主要研究方向为物联网、人工智能、城市公共安全等" ]
  [ "张新秋（1996− ），女，河北工程大学信息与电气工程学院硕士生，主要研究方向为无线感知、生物特征识别等" ]
  [ "连彬（1988− ），女，河北工程大学水利水电学院博士生，主要研究方向为物联网与水利水电工程安全" ]
  [ "王巍（1983− ），男，博士，河北工程大学信息与电气工程学院副教授，主要研究方向为物联网、人工智能、城市公共安全等" ]
  [ "赵继军（1970− ），男，博士，河北工程大学信息与电气工程学院教授，主要研究方向为光纤通信、物联网、城市公共安全等" ]
- 基金信息：
  
  国家重点研发计划;The National Key Research and Development Program of China(2018YFF0301004);国家自然科学基金资助项目;The National Natural Science Foundation of China(61802107);河北省自然科学基金资助项目;The Natural Science Foundation of Hebei Province(F2018402251);河北省高等学校科学技术研究项目;The Superior College Science Technology Research Program of Hebei Province(QN2020193);石家庄市重点研发计划;The Key Research and Development Program of Shijiazhuang City(201790571A)
- DOI：10.11959/j.issn.2096-3750.2021.00213
  中图分类号： TP301.6
- 纸质出版日期：2021-12-30，
  
  网络出版日期：2021-12，
- 稿件说明：
移动端阅览
魏忠诚, 张新秋, 连彬, 等. 基于Wi-Fi信号的身份识别技术研究[J]. 物联网学报, 2021,5(4):107-119.

ZHONGCHENG WEI, XINQIU ZHANG, BIN LIAN, et al. A survey on Wi-Fi signal based identification technology. [J]. Chinese journal on internet of things, 2021, 5(4): 107-119.
魏忠诚, 张新秋, 连彬, 等. 基于Wi-Fi信号的身份识别技术研究[J]. 物联网学报, 2021,5(4):107-119. DOI： 10.11959/j.issn.2096-3750.2021.00213.

ZHONGCHENG WEI, XINQIU ZHANG, BIN LIAN, et al. A survey on Wi-Fi signal based identification technology. [J]. Chinese journal on internet of things, 2021, 5(4): 107-119. DOI： 10.11959/j.issn.2096-3750.2021.00213.

摘要

随着信息技术的不断进步，身份识别的研究逐渐向无感化、自动化的方向发展，在人机交互、智能家居和智慧安防等领域得到了广泛应用。作为一种非接触式的无线感知技术，基于Wi-Fi信号的身份识别正逐步向多属性识别以及合法性认证等方向演进。首先，介绍了基于无线信号的身份识别原理，并从信号处理的角度综述了其预处理流程；然后，分别从行走和日常活动两种不同依据讨论了身份识别的实现方法，并从功能演进的角度讨论了多属性识别和合法性认证两大身份识别的发展趋势；最后，指出深层次特征提取、日常活动分析、识别模型构建以及多种技术融合等是实现更加鲁棒、多元、普适身份识别的未来方向，为物联网感知层的研究提供重要支撑。

Abstract

With the constant progress of the information technology

the research on identification is developing towards unawareness and automation

and applied widely in many fields

such as human-computer interaction

smart home and intelligent security.As a non-contact wireless sensing technology

Wi-Fi signal based identification is progressively evolving towards the directions of multi-attribute identification and legality verification.Firstly

the principle of wireless signal-based identification was introduced

and reviews pretreatment processes from the viewpoint of signal processing were reviewed.Then

identification implementation was discussed from two different bases of walking and daily activities.Two major development trends of identification which were multi-attribute identification and legality verification were discussed from function evolution’s views.Finally

the multiple research areas were indicated including hyper-level feature extraction

daily activities’ analysis

identification model construction

and multi-technology fusion as future directions of realizing more robust

diversify and universal identification

which would provide the important support for the research and development of Internet of things perception layer.

关键词

身份识别无线感知Wi-Fi信号多属性识别合法性认证物联网

Keywords

identificationwireless sensingWi-Fi signalmulti-attribute identificationlegality verificationInternet of things

references

翟黎 . RFID 快速隐私保护认证协议[J]. 软件学报, 2015,26(12): 3215-3222.

ZHAI L . Fast privacy preserving RFID authentication protocol[J]. Journal of Software, 2015,26(12): 3215-3222.

NGUYEN D L, CAO K, JAIN A K ,et al. Robust Minutiae Extractor:Integrating Deep Networks and Fingerprint Domain Knowledge[C]// International Conference on Biometrics (ICB). Piscataway:IEEE Press, 2018: 9-16.

黄伟庆, 杨召阳, 魏冬 ,等. 基于信息增益的无线通信信号指纹构建及识别机制研究[J]. 信息安全学报, 2020,5(06): 11-26.

HUANG W Q, YANG Z Y, DAI D ,et al. Fingerprint construction and identity recognition of wireless signal based on information gain[J]. Journal of Cyber Security, 2020,5(06): 11-26.

明安龙, 马华东, 傅慧源 . 多摄像机监控中基于贝叶斯因果网的人物角色识别[J]. 计算机学报, 2010(12): 170-178.

MING A L, MA H D, FU Y H . Bayes causal network based method for role identification in multi-camera surveillance[J]. Chinese Journal of Computers, 2010(12): 170-178.

张力新, 李佳佳, 杨轶星 ,等. 基于热释电红外信息的人体身份识别研究[J]. 仪器仪表学报, 2014.

ZHANG L X, LI J J, YANG Y X ,et al. Research on human identity recognition based on pyroelectric infrared information[J]. Chinese Journal of Scientific Instrument, 2014(35): 1571-1577.

吴绍华, 张钦宇, 张乃通 . UWB无线传感器网络中基于匹配滤波检测的TOA估计[J]. 软件学报, 2009,20(11): 3010-3022.

WU S H, ZHANG X Y, ZHANG N T . TOA estimation based on match-filtering detection for UWB wireless sensor networks[J]. Journal of Software, 2009,20(11): 3010-3022.

何杰, 吴雅南, 段世红 ,等. 人体对UWB测距误差影响模型[J]. 通信学报, 2017,38(Z1): 58-66.

HE J, WU Y N, DUAN S H ,et al. Model of human body influence on UWB ranging error[J]. Journal of Communications, 2017,38(Z1): 58-66.

付琨, 匡纲要, 郁文贤 . 一种合成孔径雷达图像阴影和目标检测的方法[J]. 软件学报, 2002,13(4): 818-826.

FU K, KUANG G Y, YU W X . A new method of the shadow and target detection of synthetic aperture radar images[J]. Journal of Software, 2002,13(4): 818-826.

POSTOLACHE O, GIRAO P S, POSTOLACHE G ,et al. Cardio-respiratory and daily activity monitor based on FMCW Doppler radar embedded in a wheelchair[C]// Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Boston:IEEE Press, 2011: 1917-1920.

SHAO W, SALIM F D, NGUYEN T ,et al. Who opened the room? device-free person identification using bluetooth signals in door access[C]// Green Computing And Communications. Piscataway:IEEE Press, 2017: 68-75.

SHAO W, NGUYEN T, QIN K ,et al. BLEDoorGuard:a device-free person identification framework using bluetooth signals for door access[J]. IEEE Internet of Things Journal, 2018,5(6): 5227-5239.

马礼, 王珊婷, 马东超 ,等. 基于稀疏表示的CSI室内定位方法[J]. 软件学报, 2016,27: 21-27.

MA L, WANG S T, MA D C ,et al. Sparse representation based CSI indoor localization method[J]. Journal of Software, 2016,27: 21-27.

丁亚三, 郭斌, 辛通 ,等. WiCount:一种基于WiFi-CSI的人数识别方法[J]. 计算机科学, 2019,46(11): 297-303.

DING Y S, GUO B, XIN T ,et al. WiCount:a crowd counting method based on Wi-Fi channel state information[J]. Computer Science, 2019,46(11): 297-303.

党小超, 司雄, 郝占军 ,等. 复杂室内环境下基于 CSI 的定位方法[J]. 物联网学报, 2018,2(4): 68-77.

DANG X C, SI X, HAO Z J ,et al. Indoor localization method based on CSI in complex environment[J]. Chinese Journal on Internet of Things, 2018,2(4): 68-77.

BAHL P, PADMANABHAN V N, VENKATA N.PADMANABHAN . RADAR:an in-building RF-based user location and tracking system[C]// International Conference on Computer Communications. Piscataway:IEEE Press, 2000: 775-784.

SEIFELDIN M, SAEED A, KOSBA A E ,et al. Nuzzer:a large-scale device-free passive localization system for wireless environments[J]. IEEE Transactions on Mobile Computing, 2013,12(7): 1321-1334.

HALPERIN D, HU W J, SHETH A ,et al. Predictable 802.11 packet delivery from wireless channel measurements[J]. ACM SIGCOMM Computer Communication Review, 2011,41(4): 159-170.

XIAO J, WU K S, YI Y W ,et al. FIMD:Fine-grained Device-free Motion Detection[C]// International Conference on Parallel and Distributed Systems. Piscataway:IEEE Press, 2012: 229-235.

ZHOU Z M, YANG Z, WU C S ,et al. Towards omnidirectional passive human detection[C]// International Conference on Computer Communications. Piscataway:IEEE Press, 2013: 3057-3065.

ZHU H, XIAO F, SUN L J ,et al. R-TTWD:robust device-free through-the-wall detection of moving human with Wi-Fi[J]. IEEE Journal on Selected Areas in Communications, 2017,35(5): 1090-1103.

WEN F H, WU K S, ZOU Y P ,et al. WiG:Wi-Fi-based gesture recognition system[C]// Proceedings of the 24th International Conference on Computer Communication and Networks (ICCCN). Piscataway:IEEE Press, 2015: 1-7.

TAN S, YANG J . WiFinger:leveraging commodity WiFi for fine-grained finger gesture recognition[C]// Mobile Ad Hoc Networking and Computting. New York:ACM, 2016: 201-210.

YANG J F, ZUO H, ZHOU Y X ,et al. Learning gestures from Wi-Fi:a siamese recurrent convolutional architecture[J]. IEEE Internet of Things Journal, 2019,6(6): 10763-10772.

WANG Y X, WU K S, LIONEL M NI . WiFall:device-free fall detection by wireless networks[J]. IEEE Transactions on Mobile Computing, 2017,16(2): 581-594.

WANG H, ZHANG D Q, WANG Y S ,et al. RT-Fall:A real-time and contactless fall detection system with commodity Wi-Fi devices[J]. IEEE Transactions on Mobile Computing, 2017,16(2): 511-526.

ZHANG J, WEI B, HU W ,et al. WiFi-ID:Human identification using Wi-Fi signal[C]// Distributed Computing in Sensor Systems (DCOSS). Piscataway:IEEE Press, 2016: 75-82.

鲁勇, 吕绍和, 王晓东 ,等. 基于WiFi信号的人体行为感知技术研究综述[J]. 计算机学报, 2019,42(02): 3-23.

LU Y, LV S H, WANG X D ,et al. A survey on WiFi based human behavior analysis technology[J]. Chinese Journal of Computers, 2019,42(02): 3-23.

WU D, ZHANG D Q, XU C R ,et al. Device-free Wi-Fi human sensing:from pattern-based to model-based approaches[J]. IEEE Communications Magazine, 2017,55(10): 91-97.

TSE D, VISWANATH P . Fundamentals of wireless communication[M]. Cambridge: Cambridge University Press, 2005.

WANG W, LIU A X, SHAHZAD M ,et al. Understanding and modeling of wifi signal based human activity recognition[C]// ACM/IEEE International Conference on Mobile Computing and Networking. New York:ACM, 2015: 65-76.

ZHAO J J, LIU L S, WEI Z C ,et al. R-DEHM:CSI-Based robust duration estimation of human motion with WiFi[J]. Sensors, 2019,19(6).

XIN T, GUO B, WANG Z ,et al. FreeSense:Indoor Human Identification with Wi-Fi Signals[C]// Global Communications Conference. Piscataway:IEEE Press, 2016: 1-7.

NIPU M N, TALUKDER S, ISLAM M S ,et al. Human identification using WIFI signal[C]// International Conference on Informatics Electronics and Vision. Piscataway:IEEE Press, 2018.

POKKUNURU A, JAKKALA K, BHUYAN A ,et al. NeuralWave:gait-based user identification through commodity WiFi and deep learning[C]// Conference of the Industrial Electronics Society. Piscataway:IEEE Press, 2018: 758-765.

ZENG Y Z, PATHAK P H, MOHAPATRA P . WiWho:wifi-based person identification in smart spaces[C]// Information Processing in Sensor Networks. Piscataway:IEEE Press, 2016.

SHI C, LIU J, LIU H B ,et al. Smart user authentication through actuation of daily activities leveraging WiFi-enabled IoT[C]// Mobile Ad Hoc Networking and Computing. NewYork:ACM, 2017.

SHAH S W, KANHERE S S . Smart user identification using cardiopulmonary activity[J]. Pervasive and Mobile Computing.NewYork:ACM, 2019,58.

WANG W, LIU A X, SHAHZAD M ,et al. Gait recognition using wifi signals[C]. Ubiquitous Computing. NewYork:ACM, 2016: 363-373.

HONG F, WANG X, YANG Y N ,et al. WFID:passive device-free human identification using WiFi signal[C]// International Conference on Mobile and Ubiquitous Systems:Networking and Services. New York:ACM Press, 2016: 47-56.

CHEN Y Y, DONG W, GAO Y ,et al. Rapid:a multimodal and device-free approach using noise estimation for robust person identification[J]// Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2017,1(3): 1-27.

XIN T, GUO B, WANG Z ,et al. FreeSense:human-behavior understanding using Wi-Fi signals[J]. Jounal of Ambient Intelligence and Humanized Computing, 2018,9(5): 1611-1622.

Lv J G, Yang W, Man D P . Device-free passive identity identification via Wi-Fi signals[J]. Sensors, 2017,17(11): 2520-2537.

NKABITI K P, CHEN Y Y, SULTAN K ,et al. A deep bidirectional lstm recurrent neural networks for identifying humans indoors using channel state information[C]// Wireless and Optical Communications Conference. Piscataway:IEEE Press, 2019: 1-5.

Bamberg S J, Benbasat A Y, Scarborough D M ,et al. Gait analysis using a shoe-integrated wireless sensor system[C]// International Conference Of The IEEE Engineering In Medicine and Biology Society. Piscataway:IEEE Press, 2008,12(4): 413-423.

ZHAO Z W, ZHAO Z F, MIN G Y ,et al. Non-intrusive biometric identification for personalized computing using wireless big data[C]// Ubiquitous intelligence and Computing. Piscataway:IEEE Press, 2018: 901-908.

ZOU H, ZHOU Y X, YANG J F ,et al. WiFi-based human identification via convex tensor shapelet learning[C]// National Conference on Artificial Intelligence. Piscataway:IEEE Press, 2018: 1711-1719.

WANG J, ZHAO Y N, FAN X X ,et al. Device-free identification using intrinsic CSI features[J]. IEEE Transactions on Vehicular Technology, 2018,67(9): 8571-8581.

SHAHZAD M, ZHANG S H . Augmenting user identification with WiFi based gesture recognition[J]. Proceedings of the ACM on Interactive Mobile Wearable ＆ Ubiquitous Technologies, 2018,2(3): 1-27.

ZHANG L, WANG C, MA M D ,et al. WiDIGR:direction-independent gait recognition system using commercial Wi-Fi devices[J]. IEEE Internet of Things Journal, 2020,7(2): 1178-1191.

XU Q Y, CHEN Y, WANG B B ,et al. Radio biometrics:human recognition through a wall[J]. IEEE Transactions on Information Forensics and Security, 2017,12(5): 1141-1155.

WANG D, ZHOU Z Y, YU X D ,et al. CSIID:WiFi-based human identification via deep learning[C]// International Conference on Computer Science and Education. Piscataway:IEEE Press, 2019: 326-330.

KORANY B, KARANAM C R, CAI H ,et al. XModal-ID:using wifi for through-wall person identification from candidate video footage[C]// ACM/IEEE International Conference on Mobile Computing and Networking. New York:ACM, 2019.

WANG F, HAN J S, LIN F ,et al. WiPIN:Operation-free passive person identification using Wi-Fi signals[J]. 2019 IEEE Global Communications Conference (GLOBECOM).Piscataway:IEEE Press, 2019.

LIU J, DONG Y D, CHEN Y Y ,et al. Leveraging breathing for continuous user authentication[C]// Proceedings of the 24th Annual International Conference on Mobile Computing and Networking. New Delhi:ACM, 2018: 786-788.

KONG H, LU L, YU J A ,et al. FingerPass:finger gesture-based continuous user authentication for smart homes using commodity WiFi[C]// Mobile Ad Hoc Networking and Computing. New York:ACM, 2019: 201-210.

ZHENG R Y, ZHAO Y C, CHEN B . Device-free and robust user identification in smart environment using wifi signal[C]// Ubiquitous Computing. Piscataway:IEEE Press, 2017: 1039-1046.

LIN C, HU J Y, SUN Y ,et al. WiAU:an accurate device-free authentication system with resnet[C]// Sensor,Mesh and Ad Hoc Communications and networks. Piscataway:IEEE Press, 2018: 1-9.

胡峰松, 张茂军, 邹北骥 ,等. 基于 HMM 的单样本可变光照、姿态人脸识别[J]. 计算机学报, 2009(07): 1424-1433.

HU F S, ZHANG M J, ZOU B J ,et al. Pose and illumination invariant face recognition based on HMM with one sample per person[J]. Chinese Journal of Computers, 2009(07): 1424-1433.

张顺, 龚怡宏, 王进军 . 深度卷积神经网络的发展及其在计算机视觉领域的应用[J]. 计算机学报, 2019,042(003): 453-482.

ZHANG S, GONG Y H, WANG J J . The development of deep convolution neural network and its applications on computer vision[J]. Chinese Journal of Computers, 2019,042(003): 453-482.

李月龙, 靳彦, 汪剑鸣 ,等. 人脸特征点提取方法综述[J]. 计算机学报, 2016,39(7): 1356-1374.

LI Y L, JIN Y, WANG J H ,et al. Face feature points extraction:a review[J]. Chinese Journal of Computers, 2016,39(7): 1356-1374.

Zhao M M, Adib F, Katabi D ,et al. Emotion recognition using wireless signals[C]// ACM/IEEE International Conference on Mobile Computing and Networking. Piscataway:IEEE Press, 2016: 95-108.

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