• DocumentCode
    74553
  • Title

    Rear-facing mobile camera-based finger motion command recognition system

  • Author

    Byung-Hun Oh ; Jung-Hyun Kim ; Kwang-Seok Hong

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • Volume
    49
  • Issue
    21
  • fYear
    2013
  • fDate
    October 10 2013
  • Firstpage
    1330
  • Lastpage
    1331
  • Abstract
    A novel rear-facing mobile camera-based finger motion command recognition system is proposed and implemented that can support mobile human-computer interaction (HCI) by using only the index finger of the hand holding the mobile device. This is a hybrid approach that includes (i) maximum morphological gradient combination and an AdaBoost-based robust fingertip detector under dynamic lighting conditions, against complicated backgrounds and (ii) one-handed mobile HCI using finger motion and fingertip pointer tracking.
  • Keywords
    cameras; gradient methods; human computer interaction; image motion analysis; learning (artificial intelligence); mobile computing; mobile radio; AdaBoost-based robust fingertip detector; dynamic lighting conditions; fingertip pointer tracking; index finger; mobile device; morphological gradient combination; one-handed mobile HCI; rear-facing mobile camera-based finger motion command recognition system;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2013.2203
  • Filename
    6651360