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.
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Wii Balance Board: Wii Fit Plus (March 25, 2011), http://wiifit.com/what-is-wii-fit-plus/#pageWhatIsWiiFitPlus
Zinnia: Online hand recognition system with machine learning (March 25, 2011), http://zinnia.sourceforge.net/index.html
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© 2011 Springer-Verlag Berlin Heidelberg
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Yonezawa, M., Nonaka, T., Hase, T. (2011). Recognition Method for Foot Written Characters. In: Stephanidis, C. (eds) HCI International 2011 – Posters’ Extended Abstracts. HCI 2011. Communications in Computer and Information Science, vol 174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22095-1_44
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DOI: https://doi.org/10.1007/978-3-642-22095-1_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22094-4
Online ISBN: 978-3-642-22095-1
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