• DocumentCode
    3089816
  • Title

    Detecting and Identifying Two Stationary-Human-Targets: A Technique Based on Bioradar

  • Author

    Yang, Zhang ; Xijing, Jing ; Teng, Jiao ; Zhu, Zhang ; Hao, Lv ; Jianqi, Wang

  • Author_Institution
    Fac. of Biomed. Eng., Fourth Mil. Med. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Firstpage
    981
  • Lastpage
    985
  • Abstract
    Bioradar is a novel kind of radar combining the technology of radar and biomedical engineering. It can detect vital signals (such as breath, heartbeat, movement, etc.) in a certain distance through the nonmetal substances (such as brick walls, rubble, etc.) without using electrodes or sensors. However, multi-stationary-human-target identifying and locating has not been resolved yet. Based on the Ultra Wide-band (UWB) bioradar, we developed a method combining biomedical signal processing and space-frequency analysis to distinguish two stationary human subjects in different distances and to identify the location of each human subject. Experiments were done to evaluate the effectiveness of the proposed method. In 86 data sets the accuracy of distinguishing two stationary subjects reached 73%. This method may serve as a basis for further studies in developing appropriate 2-Dimension locating image reconstruction models via multi-antenna (static) UWB radar.
  • Keywords
    antenna arrays; biomedical engineering; image reconstruction; medical signal processing; object detection; radar target recognition; Bioradar; biomedical engineering; biomedical signal processing; electrodes; image reconstruction models; multi-antenna static UWB radar; sensors; space-frequency analysis; stationary-human-targets detection; ultra wide-band bioradar; vital signals detection; Humans; Radar antennas; Radar detection; Radar imaging; Spectrogram; Ultra wideband radar; Non-contact; UWB; detection; multi-stationary-subject; time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8043-2
  • Electronic_ISBN
    978-0-7695-4180-8
  • Type

    conf

  • DOI
    10.1109/PCSPA.2010.242
  • Filename
    5635962