Computer Science ›› 2019, Vol. 46 ›› Issue (12): 266-271.doi: 10.11896/jsjkx.190200349

• Graphics ,Image & Pattern Recognition • Previous Articles     Next Articles

Non-cooperative Human Behavior Recognition Method Based on CSI

LI Xiao-wei, YU Jiang, CHANG Jun, YANG Jin-peng, RAN Ya-xin   

  1. (School of Information Science and Engineering,Yunnan University,Kunming 650500,China)
  • Received:2019-02-23 Online:2019-12-15 Published:2019-12-17

Abstract: Currently,Wi-Fi-based wireless personnel perception technology is widely used in anti-intrusion security monitoring,human health care,gait recognition and other fields,regarding this,this paper proposed a non-cooperative human behavior recognition method.The channel state information (CSI) of Wi-Fi signals can be used to recognize five dynamic activities:walking,sitting-standing up,squatting,jumping and falling.The method uses a SIMO system to collect CSI data,and after performing pre-processing on the CSI amplitude and phase respectively,implements a three-step computational cost reduction mechanism:subcarrier fusion,rejection of bad data link based on mobile variance threshold,and data segmentation of dynamic time window based on wavelet transform.Then activity features are extracted and extended from the time domain to the frequency domain.By analyzing the characteristics of the Doppler power spectrum,the utilization of the CSI signal is improved.Experiment results show that the overall recognition rate increases with the use of feature dimensions.Optimized by two rounds of voting,the combined classifier weighted voting method is increasing the overall recognition rate of five dynamic activities to 90.3%.And compared to RSSI,the advantages of CSI in the field of human behavior recognition are more prominent.

Key words: CSI, Non-cooperative, Wavelet analysis, Dopplerpower spectrum

CLC Number: 

  • TP391.4
[1] WANG L.Research on human behavior recognition technology based on wearable sensor network[D].Nanjing:Nanjing University,2014.
[2] WU C S,YANG Z,ZHOU Z M,et al.Non-invasive detection of moving and stationary human with Wi-Fi[J].IEEE Journal on Selected Areas in Communications,2015,33(11):2329-2342.
[3] QIAN K,WU C,YANG Z,et al.Enabling Contactless Detection of Moving Humans with Dynamic Speeds Using CSI[J].ACM Transactions on Embedded Computing Systems,2018,17(2):1-18.
[4] ZEHUA D,FANGMIN L,JULANG Y,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.
[5] LIU M G,ZHANG L,YANG P L,et al.Wi-Run:Device-free step estimation system with commodity Wi-Fi[J].Journal of Network and Computer Applications,2019,143(1):77-88.
[6] YOUSSEF M,MAH M.Challenges:Device-free Passive Localization for Wireless[C]//Acm International Conference on Mobile Computing & Networking.Montréal,Québec,Canada:ACM,2007.
[7] SIGG S,SCHOLZ M,SHI S,et al.RF-Sensing of Activities from Non-Cooperative Subjects in Device-Free Recognition Systems Using Ambient and Local Signals[J].IEEE Transactions on Mobile Computing,2014,13(4):907-920.
[8] YANG Z,ZHOU Z,LIU Y.From RSSI to CSI:Indoor Localization via Channel Response[J].ACM Computing Surveys,2013,46(2):1-32.
[9] YANG Z,LIU Y H.Wi-Fi Radar:From RSSI to CSI[J].Chinese Computer Society,2014,10(11):55-60.
[10] TIAN X H,ZHU S J,XIONG S J,et al.Performance Analysis of Wi-Fi Indoor Localization with Channel State Information [J].IEEE Transactions on Mobile Computing,2019,18(8):1870-1884.
[11] ZHANG Y,LI D P,WANG Y J.An Indoor Passive Positioning Method Using CSI Fingerprint Based on Adaboost [J].IEEE Sensors Journal,2019,19(14):5792-5800.
[12] XIN T,GUO B,WANG Z,et al.FreeSense:human-behavior understanding using Wi-Fi signals [J].Journal of Ambient Intelligence and Humanized Computing,2018,9(5):1611-1622.
[13] LI W D,TAN B,PIECHOCKI R J.Wi-Fi based passive sensing system for human presence and activity event classification [J].IET Wireless Sensor Systems,2018,8(6):276-283.
[14] 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.
[15] XIAO L,PAN H.Human motion recognition system based on Wi-Fi signal[J].Journal of Beijing University of Posts and Telecommunications,2018,41(3):119-124.
[16] WANG T,YANG D D,ZHANG S Q,et al.Wi-Alarm:Low-Cost Passive Intrusion DetectionUsing Wi-Fi[J].Sensors,2019,19(10):2335.
[17] WU K,XIAO J,YI Y,et al.FILA:Fine-grained indoor localization[C]//Proceedings of IEEE INFOCOM.2012:2210-2218.
[18] WANG W,LIU A X,SHAHZAD M,et al.Device-Free Human Activity Recognition Using Commercial Wi-Fi Devices[J].IEEE Journal on Selected Areas in Communications,2017,35(5):1118-1131.
[19] LI Y H,CHEN B.A Parameter-Independent Access Point Location Method Based on CSI[J].Computer Science,2017,44(12):74-77.
[20] GENG Y,CHEN J,FU R,et al.Enlighten Wearable Physiological Monitoring Systems:On-body RF Characteristics Based Human Motion Classification Using a Support Vector Machine[J].IEEE Transactions on Mobile Computing,2016,15(3):656-671.
[1] LI Xiang-li, JIA Meng-xue. Nonnegative Matrix Factorization Algorithm with Hypergraph Based on Per-treatments [J]. Computer Science, 2020, 47(7): 71-77.
[2] LIU Feng, GE Pei-xin, ZENG Lian-sun. Transmission Scheme for Asymmetric Two-way Relay X Channel Based on Delayed CSIT [J]. Computer Science, 2019, 46(8): 152-156.
[3] DU Zhen, MA Li-peng, SUN Guo-zi. Network Traffic Anomaly Detection Based on Wavelet Analysis [J]. Computer Science, 2019, 46(8): 178-182.
[4] TIAN Li-wen and FENG Xiu-fang. Adaptive Correction Model Location Algorithm Based on CSI [J]. Computer Science, 2017, 44(7): 79-83.
[5] LI Yao-hui and CHEN Bing. Parameter Independent Access Point Positioning Method Based on CSI [J]. Computer Science, 2017, 44(12): 68-71.
[6] HE Qing-bi, HUANG Da-rong and YANG Yong-qin. Super-resolution Reconstruction Method Based on Wavelet Analysis and Polynomial Subdivision Location [J]. Computer Science, 2016, 43(3): 313-316.
[7] ZHOU Feng and PI De-chang. Prediction Algorithm for Seasonal Satellite Parameters Based on Time Series Decomposition [J]. Computer Science, 2016, 43(2): 9-12.
[8] ZHANG Heng-wei, ZHANG Jian and HAN Ji-hong. Defense Strategies Selection Method Based on Non-cooperative Game Attack Forecast [J]. Computer Science, 2016, 43(1): 195-201.
[9] GUO Yan, LI Yong-tang and LI Chun-jie. Improved iSCSI Authentication Based on USB-Key [J]. Computer Science, 2015, 42(Z6): 359-361.
[10] WU Yi-zhi, TIAN Shuang-jie and ZHOU Yu-yan. Research of Software Defined Storage Area Network Based on iSCSI [J]. Computer Science, 2015, 42(Z6): 253-255.
[11] CUI Tie-jun and MA Yun-dong. Prediction of Periodic Weighting Based on Optimized Functional Networks [J]. Computer Science, 2013, 40(Z6): 243-246.
[12] . Non-cooperative Gaming and Bidding Model Based Resource Allocation in Virtual Machine Environment [J]. Computer Science, 2012, 39(Z6): 380-382.
[13] . Interval-valued Decision-theoretic Rough Sets [J]. Computer Science, 2012, 39(7): 178-181.
[14] . Speech Endpoints Detection Algorithm Based on Support Vector Machine and Wavelet Analysis [J]. Computer Science, 2012, 39(6): 244-246.
[15] . Research on Self Service Terminal Interaction Design [J]. Computer Science, 2012, 39(6): 16-20.
Full text



[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75 .
[2] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[3] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[4] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99 .
[5] ZHOU Yan-ping and YE Qiao-lin. L1-norm Distance Based Least Squares Twin Support Vector Machine[J]. Computer Science, 2018, 45(4): 100 -105 .
[6] GENG Hai-jun, SHI Xin-gang, WANG Zhi-liang, YIN Xia and YIN Shao-ping. Energy-efficient Intra-domain Routing Algorithm Based on Directed Acyclic Graph[J]. Computer Science, 2018, 45(4): 112 -116 .
[7] CUI Qiong, LI Jian-hua, WANG Hong and NAN Ming-li. Resilience Analysis Model of Networked Command Information System Based on Node Repairability[J]. Computer Science, 2018, 45(4): 117 -121 .
[8] YANG Yu-qi, ZHANG Guo-an and JIN Xi-long. Dual-cluster-head Routing Protocol Based on Vehicle Density in VANETs[J]. Computer Science, 2018, 45(4): 126 -130 .
[9] SHI Chao, XIE Zai-peng, LIU Han and LV Xin. Optimization of Container Deployment Strategy Based on Stable Matching[J]. Computer Science, 2018, 45(4): 131 -136 .
[10] HAN Kui-kui, XIE Zai-peng and LV Xin. Fog Computing Task Scheduling Strategy Based on Improved Genetic Algorithm[J]. Computer Science, 2018, 45(4): 137 -142 .