• DocumentCode
    3700276
  • Title

    Fast hand detection and gesture recognition

  • Author

    Yuh-Rau Wang;Jia-Liang Syu;Hsin-Ting Li;Ling Yang

  • Author_Institution
    Dept. of Computer Science and Information Engineering, St. John´s University, Taipei, Taiwan
  • Volume
    1
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    408
  • Lastpage
    413
  • Abstract
    A fast hand detection and gesture recognition method is proposed in this paper. To reduce the computation time, we employ symmetric mask-based discrete wavelet transform (SMDWT) to reduce the image resolution and then utilize the extracted characteristics to perform hand detection and gesture recognition. The proposed method reduces about 66% of the overall computation time. Experimental results show that the proposed real time hand detection and gesture recognition methods can detect fast and accurately, and can be implemented on embedded system easily. The average gesture recognition rate is around 97.5%.
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICMLC.2015.7340956
  • Filename
    7340956
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3700276