Enhancing Single Touch Gesture Classifiers to Multitouch Support

  • Michael Schmidt
  • Gerhard Weber
Conference paper

DOI: 10.1007/978-3-642-14100-3_73

Volume 6180 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Schmidt M., Weber G. (2010) Enhancing Single Touch Gesture Classifiers to Multitouch Support. In: Miesenberger K., Klaus J., Zagler W., Karshmer A. (eds) Computers Helping People with Special Needs. ICCHP 2010. Lecture Notes in Computer Science, vol 6180. Springer, Berlin, Heidelberg

Abstract

Recent progress in the area of touch sensitive hardware has accelerated a trend of rethinking classical user interfaces. Applications controlled by gestures have become of special interest. System defined gestures however may prove not to be as intuitive and flexible as prefered by eager users. A same amount of flexibility would be handy for offering special input methods appropriate to users’ options and skills. The presented work shows an alternative to system defined gestures even for multitouch input. Extended by a few feature comparisons, existing single touch classifiers are enhanced to support a much wider range of input. The main goal is to provide an easy to use and implement concept of multitouch recognition. Along with the algorithmic design testing results on the classifiers performance and proposals for applications are given.

Keywords

gesture recognition classifier multitouch recognition rates user interfaces 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Michael Schmidt
    • 1
  • Gerhard Weber
    • 1
  1. 1.Institut für Angewandte InformatikTechnische Universität DresdenDresdenGermany