• DocumentCode
    3353562
  • Title

    Recognition of Grip-Patterns by Using Capacitive Touch Sensors

  • Author

    Chang, Wook ; Kim, Kee Eung ; Lee, Hyunjeong ; Cho, Joon Kee ; Soh, Byung Seok ; Shim, Jung Hyun ; Yang, Gyunghye ; Cho, Sung-Jung ; Park, Joonah

  • Author_Institution
    Samsung Adv. Inst. of Technol., Suwon
  • Volume
    4
  • fYear
    2006
  • fDate
    9-13 July 2006
  • Firstpage
    2936
  • Lastpage
    2941
  • Abstract
    A novel and intuitive way of accessing applications of mobile devices is presented. The key idea is to use grip-pattern, which is naturally produced when a user tries to use the mobile device, as a clue to determine an application to be launched. To this end, a capacitive touch sensor system is carefully designed and installed underneath the housing of the mobile device to capture the information of the user´s grip-pattern. The captured data is then recognized by a minimum distance classifier and a naive Bayes classifier. The recognition test is performed to validate the feasibility of the proposed user interface system
  • Keywords
    capacitive sensors; mobile handsets; pattern recognition; tactile sensors; user interfaces; capacitive touch sensors; grip-patterns recognition; minimum distance classifier; mobile devices; naive Bayes classifier; recognition test; user interface system; Electrodes; Face detection; Fingers; Optical devices; Performance evaluation; Sensor phenomena and characterization; Sensor systems; System testing; Tactile sensors; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2006 IEEE International Symposium on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0496-7
  • Electronic_ISBN
    1-4244-0497-5
  • Type

    conf

  • DOI
    10.1109/ISIE.2006.296083
  • Filename
    4078859