• DocumentCode
    690349
  • Title

    A Survey on Hand Gesture Recognition

  • Author

    Lingchen Chen ; Feng Wang ; Hui Deng ; Kaifan Ji

  • Author_Institution
    Comput. Technol. Applic. Key Lab. of Yunnan Province, Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    313
  • Lastpage
    316
  • Abstract
    Hand gesture recognition has become one of the key techniques of human-computer interaction (HCI). Many researchers are devoted in this field. In this paper, firstly the history of hand gesture recognition is discussed and the technical difficulties are also enumerated. Then, we analyze the definition of hand gesture and introduce the basic principle of it. The approaches for hand gesture recognition, such as vision-based, glove-based and depth-based, are contrasted briefly in this paper. But the former two methods are too simple and not natural enough. Currently, the new finger identification and hand gesture recognition technique with Kinect depth data is the most popular research direction. Finally, we discuss the application prospective of hand gesture recognition based on Kinect.
  • Keywords
    gesture recognition; human computer interaction; image sensors; HCI; Kinect depth data; depth-based; finger identification; glove-based; hand gesture recognition; human-computer interaction; vision-based; Cameras; Computers; Gesture recognition; Human computer interaction; Robots; Thumb; Hand Gesture Recognition; Human-Computer Interaction (HCI); Kinect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Applications (CSA), 2013 International Conference on
  • Conference_Location
    Wuhan
  • Type

    conf

  • DOI
    10.1109/CSA.2013.79
  • Filename
    6835606