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Recognition Method for Foot Written Characters

  • Masahiro Yonezawa
  • Takako Nonaka
  • Tomohiro Hase
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 174)

Abstract

This paper proposed a method in which characters can be easily entered to an information device, by using the feet in place the hands. First, we determined input on the board was possible with an experimental system. Next, we confirmed recognition of characters directly write, and supported alpha-numeric characters and, symbols. Finally we confirmed the recognition rate of the system by the input experiment of ten users. The recognition rates were more than 87 percent when including a fifth characters candidate, and our proposed user interface was confirmed as effective in recognizing handwritten characters.

Keywords

Foot Written Board Recognition 

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References

  1. 1.
    Wii Balance Board: Wii Fit Plus (March 25, 2011), http://wiifit.com/what-is-wii-fit-plus/#pageWhatIsWiiFitPlus
  2. 2.
    Zinnia: Online hand recognition system with machine learning (March 25, 2011), http://zinnia.sourceforge.net/index.html

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Masahiro Yonezawa
    • 1
  • Takako Nonaka
    • 1
  • Tomohiro Hase
    • 1
  1. 1.Ryukoku UniversityOtsuJapan

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