• DocumentCode
    3676285
  • Title

    Short time state space method for human motion identification

  • Author

    Lingyun Ren;Haofei Wang;Aly E. Fathy;Nghia Tran;Ozlem Kilic

  • Author_Institution
    Dept. Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    510
  • Lastpage
    511
  • Abstract
    In this paper, UWB radar system is introduced and the applicability of the short time state space method (STSSM) is investigated for the extraction of micro-Doppler (m-D) features from a walking subject. A full wave model of human motion and the Boulic model are used to validate the proposed STSSM and calibrate the parameters before it was applied to experimental data. It is experimentally demonstrated that STSSM can successfully distinguish the motion of different body joints by identifying corresponding m-D frequencies.
  • Keywords
    "Joints","Ultra wideband radar","Legged locomotion","Feature extraction","Spectrogram","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/APS.2015.7304641
  • Filename
    7304641
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3676285