[1] |
WANG X Y , GAO L J , MAO S W ,et al. CSI-Based fingerprinting for indoor localization:adeep learning approach[J]. IEEE Transactions on Vehicular Technology, 2017,66(1): 763-776.
|
[2] |
LV J , MAN D , WU Y ,et al. Robust WLAN-based indoor intrusion detection using PHY layer information[J]. IEEE Access, 2018(6): 30117-30127.
|
[3] |
DOMENICO S D , SANCTIS M D , CIANCA E ,et al. Wi-Fi-based through-the-wall presence detection of stationary and moving humans analyzing the doppler spectrum[J]. IEEE Aerospace & Electronic Systems Magazine, 2018,33(5-6): 14-19.
|
[4] |
KIM Y , MOON T . Human detection and activity classification based on micro-doppler signatures using deep convolutional neural networks[J]. IEEE Geoscience & Remote Sensing Letters, 2016,13(1): 8-12.
|
[5] |
JIANG H , CAI C , MA X ,et al. Smart home based on Wi-Fi sensing:A survey[J]. IEEE Access, 2018(6): 13317-13325.
|
[6] |
WEINSTEIN S , EBERT P . Data transmission by frequency-division multiplexing using the discrete fourier transform[J]. IEEE Transactions on Communications, 1971,19(5): 628-634.
|
[7] |
WONG C Y , CHENG R S , LATAIEF K B ,et al. Multiuser OFDM with adaptive subcarrier,bit,and power allocation[J]. IEEE Journal on Selected Areas in Communications, 1999,17(10): 1747-1758.
|
[8] |
ZHI W , HAN J , WEI X ,et al. Efficient and secure key extraction using channel state information[J]. Journal of Supercomputing, 2014,70(3): 1537-1554.
|
[9] |
HALPERIN D , HU W , SHETH A ,et al. Tool release:gathering 802.11n traces with channel state information[J]. ACM Sigcomm Computer Communication Review, 2011,41(1): 53-53.
|
[10] |
YANG J , ZOU H , JIANG H ,et al. CareFi:sedentary behavior monitoring system via commodity WiFi infrastructures[J]. IEEE Transactions on Vehicular Technology, 2018,67(8): 7620-7629.
|
[11] |
HUANG X , GUO S , WU Y ,et al. A fine-grained indoor fingerprinting localization based on magnetic field strength and channel state information[J]. Pervasive and Mobile Computing, 2017(41): 150-165.
|
[12] |
LI T , WANG H , SHAO Y ,et al. Channel state information–based multi-level fingerprinting for indoor localization with deep learning[J]. International Journal of Distributed Sensor Networks, 2018,14(10): 1-12.
|
[13] |
HAN S , LI Y , MENG W ,et al. Indoor localization with a single Wi-Fi access point based on OFDM-MIMO[J]. IEEE Systems Journal, 2018(4): 964-972.
|
[14] |
WU Z F , XU Q , LI J ,et al. Passive indoor localization based on CSI and Naive Bayes classification[J]. IEEE Transactions on Systems,Man,and Cybernetics:Systems, 2018,48(9): 1566-1577.
|
[15] |
WU Z F , LEI J , JIANG Z ,et al. Accurate indoor localization based on CSI and visibility graph[J]. Sensors, 2018,18(8): 2549-2550.
|
[16] |
HSIEH C , CHEN J , NIEN B . Deep learning-based indoor localization using received signal strength and channel state information[J]. IEEE access, 2019(7): 33256-33267.
|
[17] |
CHEN H , ZHANG Y , LI W ,et al. ConFi:convolutional neural networks based indoor Wi-Fi localization using channel state information[J]. IEEE Access, 2017(5): 18066-18074.
|
[18] |
WANG X , MAO S . Deep convolutional neural networks for indoor localization with CSI images[J]. IEEE Transactions on Network Science and Engineering, 2018(9): 2327-2339.
|
[19] |
ZHONG S , HUANG Y , RUBY R ,et al. Wi-Fire:device-free fire detection using WiFi networks[C]// IEEE International Conference on Communications,May 21-25,2017,Paris,France. Piscataway IEEE Press, 2017: 1-6.
|
[20] |
徐强 . 基于信道状态信息的室内无源定位技术研究[D]. 杭州:浙江工业大学, 2017.
|
|
XU Q . Research on indoor passive location technology based on channel state information[D]. Hangzhou:Zhejiang University of Technology, 2017.
|
[21] |
李璐汐 . 基于 WLAN 的人员感知与入侵检测技术研究与设计[D]. 北京:北京邮电大学, 2018.
|
|
LI L X . Research and design of personnel perception and intrusion detection technology based on WLAN[D]. Beijing:Beijing University of Posts and Telecommunications, 2018.
|
[22] |
周健 . 无线感知网络中基于 CSI 的室内入侵检测与行为识别研究[D]. 南京:南京邮电大学, 2018.
|
|
ZHOU J . Research on indoor intrusion detection and behavior recognition based on CSI in wireless perceptual networks[D]. Nanjing:Nanjing University of Posts and Telecommunications, 2018.
|
[23] |
LI S , LI X , NIU K ,et al. AR-Alarm:an adaptive and robust intrusion detection system leveraging csi from commodity Wi-Fi[C]// International Conference on Smart Homes and Health Telematics,August 12-16,2017,Cham,Germany. Berlin:Springer, 2017: 211-223.
|
[24] |
TIAN Z , WANG J , YANG X ,et al. WiCatch:a Wi-Fi based hand gesture recognition system[J]. IEEE Access, 2018(6): 16911-16923.
|
[25] |
MA Y S , ZHOU G , WANG S Q ,et al. SignFi:sign language recognition using Wi-Fi[J]. ACM Interaction Mobile Wearable Ubiquitous Technology, 2018,2(1): 1-21.
|
[26] |
MUHAMMAD S , ZHANG S H . Augmenting user identification with Wi-Fi based gesture recognition[J]. ACM Interaction Mobile Wearable Ubiquitous Technology, 2018,2(3): 1-27.
|
[27] |
RAGHAV , VENKATNARAYAN , GRIFFIN PAGE . Multi-user gesture recognition using Wi-Fi[C]// The 16th Annual International Conference on Mobile Systems,CA,USA. New York:ACM Press, 2018: 401-413.
|
[28] |
CHEN J , LI F , CHEN H ,et al. Dynamic gesture recognition using wireless signals with less disturbance[J]. Personal and Ubiquitous Computing, 2019,23(1): 17-27.
|
[29] |
ZHENG X , WANG J , SHANGGUAN L ,et al. Smokey:ubiquitous smoking detection with commercial wifi infrastructures[C]// IEEE International Conference on Computer Communications,April 10-14,2016,San Francisco,USA. Piscataway:IEEE Press, 2016: 1-9.
|
[30] |
LIU J , CHEN Y , WANG Y ,et al. Monitoring vital signs and postures during sleep using Wi-Fi signals[J]. IEEE Internet of Things Journal, 2018,5(3): 2071-2084.
|
[31] |
ZHANG D , HU Y , CHEN Y ,et al. Breathtrack:tracking indoor human breath status via commodity Wi-Fi[J]. IEEE Internet of Things Journal, 2019(99): 1-1.
|
[32] |
ZENG Y W , YI E , WU D ,et al. A full human respiration detection system using commodity Wi-Fi devices[C]// ACM International Joint Conference,Oct 8-12,2018,Singaproe,Singaproe. New York:ACM Press, 2019: 480-483.
|
[33] |
YANG Y , CAO J , LIU X ,et al. Multi-person sleeping respiration monitoring with COTS Wi-Fi devices[C]// 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS),Oct 9-12,2018,Chengdu,China. Piscataway:IEEE Press, 2018: 37-45.
|
[34] |
LEE S , PARK Y , SUH Y ,et al. Design and implementation of monitoring system for breathing and heart rate pattern using Wi-Fi signals[C]// IEEE Annual Consumer Communications & Networking Conference,Jan 12-15,2018,Las Vegas,NV,USA. Piscataway:IEEE Press, 2018: 1-7.
|
[35] |
WOO S , BYUN J , KIM S ,et al. RNN-based personalized activity recognition in multi-person environment using RFID[C]// IEEE International Conference on Computer and Information Technology.Dec 8-10,2016,Nadi,Fiji. Piscataway:IEEE Press, 2016: 708-715.
|
[36] |
WANG F , GONG W , LIU J . On spatial diversity in Wi-Fi-based human activity recognition:a deep learning based approach[J]. IEEE Internet of Things Journal, 2019(99):1.
|
[37] |
CHOWDHURY T Z . Using Wi-Fi channel state information (CSI) for human activity recognition and fall detection[D]. Vancouver:University of British Columbia, 2018.
|
[38] |
HAO W , ZHANG D , WANG Y ,et al. RT-Fall:areal-time and contactless fall detection system with commodity WiFi devices[J]. IEEE Transactions on Mobile Computing, 2017,16(2): 511-526.
|
[39] |
ZHANG F , ZHANG D , JEI X ,et al. From fresnel diffraction model to fine-grained human respiration sensing with commodity Wi-Fi devices[J]. Proceedings of the ACM on Interactive,Mobile,Wearable and Ubiquitous Technologies, 2018,2(1): 53-76.
|
[40] |
ZHANG Z , ISHIDA S , TAGASHIRA S ,et al. Danger-Pose Detection System Using Commodity Wi-Fi for Bathroom Monitoring[J]. Sensors, 2019,19(4): 287-290.
|
[41] |
DONG Z H , LI F M , YIN J L ,et al. Indoor motion detection using wi-fi channel state information in flat floor environments versus in staircase environments[J]. Sensors, 2018,18(7): 2177-2177.
|
[42] |
WANG Z Q , GU Z H , YIN J W ,et al. Syncope detection in toilet environments using Wi-Fi channel state information[C]// The 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers,Oct 8-12,2018,Singapore. New York:ACM Press, 2019: 287-290.
|
[43] |
YANG Y , CAO J , LIU X ,et al. Wi-Count:passing people counting with COTS WiFi devices[C]// International Conference on Computer Communication and Networks,July 30-Aug 2,2018,Hangzhou,China. Piscataway:IEEE Press, 2018: 1-9.
|
[44] |
LIU S , ZHAO Y , XUE F ,et al. DeepCount:crowd counting with Wi-Fi via deep learning[J]. Signal Processing, 2019: 211-223.
|
[45] |
HUANG H , LIN S . WiDet:Wi-Fi based device-free passive person detection with deep convolutional neural networks[C]// The 21st ACM International Conference on Modeling,Oct 28-Nov 2,2018,Montreal,Canada,New York:ACM Press, 2018: 53-60.
|