• DocumentCode
    3006139
  • Title

    An analytic algorithm based electromagnetic localization method

  • Author

    Shuang Song ; Hongliang Ren ; Wei Liu ; Chao Hu

  • Author_Institution
    Dept. of Bioeng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2013
  • fDate
    26-28 Aug. 2013
  • Firstpage
    626
  • Lastpage
    630
  • Abstract
    An electromagnetic based tracking method is proposed in this paper, which can provide 6D position and orientation information. This method is based on triaxial transmitting coils and triaxial sensing coils, which are based on the electromagnetic field. Transmitting coils fed with different frequency alternating current (AC) signals comprise the magnetic field source, which can be seen as three orthogonal magnetic dipoles. By extracting the amplitude and phase information from the triaxial sensing coils, 3D position and 3D orientation information of the sensing coils in the pre-defined localization coordinate system can be estimated using an appropriate algorithm. In this paper, an analytic method is proposed to realize the calculation, which can estimate the position and orientation of the sensing coils easily and fast. Simulation results indicate that this method has a good performance.
  • Keywords
    coils; electromagnetic fields; magnetic field measurement; magnetic moments; magnetic sensors; position measurement; sensor fusion; 3D orientation information; 3D position; 6D position; analytic algorithm; electromagnetic based tracking method; electromagnetic field; electromagnetic localization method; frequency alternating current signals; magnetic field source; orthogonal magnetic dipoles; triaxial sensing coils; triaxial transmitting coils; Coils; Electromagnetics; Magnetic field measurement; Mathematical model; Noise level; Robot sensing systems; 6D Localization and Orientation; Analytic Method; Magnetic Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2013 IEEE International Conference on
  • Conference_Location
    Yinchuan
  • Type

    conf

  • DOI
    10.1109/ICInfA.2013.6720372
  • Filename
    6720372