Micro-Doppler signatures for intelligent human gait recognition using a UWB impulse radar

被引:0
|
作者
Wang, Yazhou [1 ]
Fathy, Aly E. [1 ]
机构
[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
关键词
Doppler; human gait recognition; UWB; impulse radar; arm swing;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A UWB impulse Doppler radar has been developed recently to detect the micro-Doppler signatures of human motions. The system RF front-end, wideband antenna array and high speed data acquisition module are introduced in details. The developed radar is used to detect the Doppler features of arms swing, which has unique characteristics compared to movements of other body components, for intelligent human gait recognition. Several experiments, including human marching and walking, with either one-arm or two-arm swings, have been performed. Promising experimental results have been achieved from both high resolution range profiles and Doppler spectrogram. The developed radar is also capable of detecting vibrations of respiration and heartbeat for stationary human targets buried in collapse for search and rescue operations.
引用
下载
收藏
页码:2103 / 2106
页数:4
相关论文
共 50 条
  • [1] Analysis of Micro-Doppler Signatures for Vital Sign Detection using UWB Impulse Doppler Radar
    Ren, Lingyun
    Tran, Nghia
    Wang, Haofei
    Fathy, Aly E.
    Kilic, Ozlem
    2016 IEEE TOPICAL CONFERENCE ON BIOMEDICAL WIRELESS TECHNOLOGIES, NETWORKS, AND SENSING SYSTEMS (BIOWIRELESS), 2016, : 18 - 21
  • [2] Subspace Classification of Human Gait Using Radar Micro-Doppler Signatures
    Seifert, Ann-Kathrin
    Schaefer, Lukas
    Amin, Moeness G.
    Zoubir, Abdelhak M.
    2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2018, : 311 - 315
  • [3] Open-Scenario-Oriented Human Gait Recognition Using Radar Micro-Doppler Signatures
    Yang Y.
    Zhao D.
    Yang X.
    Li B.
    Wang X.
    Lang Y.
    IEEE Transactions on Aerospace and Electronic Systems, 2024, 60 (05) : 1 - 14
  • [4] Person Identification Using Micro-Doppler Signatures of Human Motions and UWB Radar
    Yang, Yang
    Hou, Chunping
    Lang, Yue
    Yue, Guanghui
    He, Yuan
    Xiang, Wei
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2019, 29 (05) : 366 - 368
  • [5] Human Gait Recognition with Micro-Doppler Radar and Deep Autoencoder
    Hoang Thanh Le
    Son Lam Phung
    Bouzerdoum, Abdesselam
    2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018, : 3347 - 3352
  • [6] Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures
    Li, Xinyu
    He, Yuan
    Fioranelli, Francesco
    Jing, Xiaojun
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [7] Human Motion Recognition With Limited Radar Micro-Doppler Signatures
    Li, Xinyu
    He, Yuan
    Fioranelli, Francesco
    Jing, Xiaojun
    Yarovoy, Alexander
    Yang, Yang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (08): : 6586 - 6599
  • [8] Abnormal Gait Detection and Classification Using Micro-Doppler Radar Signatures
    Hall, Donald L.
    Ridder, Tyler D.
    Narayanan, Ram M.
    RADAR SENSOR TECHNOLOGY XXIII, 2019, 11003
  • [9] Multiple walking human recognition based on radar micro-Doppler signatures
    SUN ZhongSheng
    WANG Jun
    ZHANG YaoTian
    SUN JinPing
    YUAN ChangShun
    BI YanXian
    Science China(Information Sciences), 2015, 58 (12) : 177 - 189
  • [10] Multiple walking human recognition based on radar micro-Doppler signatures
    Sun ZhongSheng
    Wang Jun
    Zhang YaoTian
    Sun JinPing
    Yuan ChangShun
    Bi YanXian
    SCIENCE CHINA-INFORMATION SCIENCES, 2015, 58 (12) : 1 - 13