• DocumentCode
    2952831
  • Title

    PCA-Based Classification for 3D Ultrasonic Reflectors

  • Author

    Ochoa, A. ; Ureña, J. ; Hernandez, A. ; Mazo, M. ; Jimenez, J.A. ; Pérez, M.C.

  • Author_Institution
    Alcala Univ., Madrid
  • fYear
    2007
  • fDate
    3-5 Oct. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this work a classification system for basic ultrasonic reflectors (plane, corner and edge) in three-dimensional (3D) environments is presented. The classification system is based on the principal component analysis (PCA) technique and the times-of-flight (TOF) are used as classification parameter. The system provides a sensorial structure to simultaneously obtain up to 16 TOF in every emission/scanning process. With the set of obtained TOF, it is possible to identify the ultrasonic reflector, as well as its position and range in 3D environments. The results achieved by the classification system are satisfactory, since the three reflector types are identified and located in 3D environments.
  • Keywords
    acoustic signal processing; principal component analysis; signal classification; ultrasonic reflection; 3D ultrasonic reflectors; PCA-based classification system; emission process; principal component analysis; scanning process; times-of-flight; Classification algorithms; Data mining; Electronic mail; Encoding; Face recognition; Indoor environments; Mobile robots; Object recognition; Principal component analysis; Ultrasonic transducers; Classification system; PCA; TOF; ultrasonic reflectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on
  • Conference_Location
    Alcala de Henares
  • Print_ISBN
    978-1-4244-0829-0
  • Electronic_ISBN
    978-1-4244-0830-6
  • Type

    conf

  • DOI
    10.1109/WISP.2007.4447595
  • Filename
    4447595