IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v10y2014i7p278460.html
   My bibliography  Save this article

Hand Gesture and Character Recognition Based on Kinect Sensor

Author

Listed:
  • Tomoya Murata
  • Jungpil Shin

Abstract

The purpose of this research was to see if Kinect sensor can recognize numeric and alphabetic characters written with the hand in the air. Kinect sensor can capture motion without the sensor device being attached to the user's body. The input screen has both modes of numerals and alphabet. The recognition rate was measured and the user wrote the numbers from zero to nine and the letters from A to Z twice. Alphabet recognition relied on Palm's Graffiti. The input numerals and alphabet were recognized by dynamic programming matching based on interstroke information. In addition, this system can perform the numeral operation, such as +, −, ×, and /. Most people are not used to writing in the air and are unfamiliar with Kinect sensor, and it takes some time to master them both. First, the user needs to become accustomed to using the sensor. Average recognition rates of 95.0% and 98.9%, respectively, were obtained for numerical and alphabetical characters.

Suggested Citation

  • Tomoya Murata & Jungpil Shin, 2014. "Hand Gesture and Character Recognition Based on Kinect Sensor," International Journal of Distributed Sensor Networks, , vol. 10(7), pages 278460-2784, July.
  • Handle: RePEc:sae:intdis:v:10:y:2014:i:7:p:278460
    DOI: 10.1155/2014/278460
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2014/278460
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/278460?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:10:y:2014:i:7:p:278460. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.