• DocumentCode
    3023594
  • Title

    Estimating Indoor Walking Velocity Profile Using a Software Radio-Based Radar

  • Author

    Godana, Bruhtesfa ; Leus, Geert ; Barroso, André

  • Author_Institution
    Fac. of EEMCS, Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2010
  • fDate
    18-25 July 2010
  • Firstpage
    44
  • Lastpage
    51
  • Abstract
    Radar is an attractive technology for long term monitoring of human movement as it operates remotely, can be placed behind walls and is able to monitor a large area depending on its operating parameters. A radar signal reflected off a moving person carries rich information on his or her activity pattern in the form of a set of Doppler frequency components produced by the specific combination of limbs and torso movements. Deploying radars in indoor environments poses however challenges for the interpretation of signals reflected off a moving object due to multipath propagation. Two strategies for the estimation of human walking velocity profile in indoor environments are suggested and discussed. The accuracy of the strategies are evaluated and compared in a field experiment using a flexible and low-cost software defined radar platform. The results obtained indicate that both methods are able to estimate the velocity profile of the person´s translational movement with less than 10% error.
  • Keywords
    Doppler radar; indoor radio; mobile radio; motion estimation; radar signal processing; radiowave propagation; reflection; software radio; Doppler frequency components; human movement monitoring; indoor walking velocity profile estimation; multipath propagation; radar signal reflection; software radio; Doppler effect; Doppler radar; Humans; Monitoring; Radar cross section; Torso; GNU Radio; Human movement; Radar; Velocity profile;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Device Technologies and Applications (SENSORDEVICES), 2010 First International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-1-4244-7474-5
  • Type

    conf

  • DOI
    10.1109/SENSORDEVICES.2010.16
  • Filename
    5632107