• DocumentCode
    3420575
  • Title

    Cutting quality of kitchen knives: an application of sensor fusion to the analysis

  • Author

    Takatsuji, Toshiyuki ; Tanaka, Ken-ichi

  • Author_Institution
    Nat. Res. Lab. of Metrol., AIST, Ibaraki, Japan
  • fYear
    1992
  • fDate
    9-13 Nov 1992
  • Firstpage
    1571
  • Abstract
    Regression analysis is examined as a data integration technique for sensor fusion. Using experimental design, the effect of each explanatory variable on response variables is obtained independently, and when interactions are expected to exist, the effects can be calculated. An experiment on the quantification of sensor characteristics measured by sensor evaluation was carried out. The cutting quality of kitchen knives was considered as an example of sensory characteristics. It was found that the most significant factors influencing cutting quality are the angle of the cutting edge and the roughness of the side surface of the cutting edge
  • Keywords
    sensor fusion; statistical analysis; cutting edge; cutting quality; data integration; kitchen knives; quantification; regression analysis; response variables; roughness; sensor fusion; Design for experiments; Equations; Laboratories; Metrology; Performance analysis; Regression analysis; Robot control; Robot sensing systems; Sensor arrays; Sensor fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0582-5
  • Type

    conf

  • DOI
    10.1109/IECON.1992.254366
  • Filename
    254366