• DocumentCode
    3763567
  • Title

    A novel recognition system for digits writing in the air using coordinated path ordering

  • Author

    Chiang Wang;Chung-Yen Su;Chun-Lin Lin

  • Author_Institution
    Dept. of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
  • fYear
    2015
  • Firstpage
    244
  • Lastpage
    249
  • Abstract
    With the invention of Microsoft Kinect sensor, human-computer interaction is gaining its attention and becoming available for widespread use. The previous study presented a method of Kinect-based mid-air handwritten digit recognition for Android smart phones with a recognition accuracy of only about 94.6%. In this paper, we propose an improved method based on the normalizing and scaling of path order coordinates. With that, the proposed method leads to accuracy elevation and executing time reduction. Experimental results show an average recognition accuracy rate of 96.8% was achieved for each number.
  • Keywords
    "Handwriting recognition","Encoding","Human computer interaction","Training","Writing","Artificial intelligence","Robots"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIIBMS.2015.7439500
  • Filename
    7439500