Table-Top Interface Using Fingernail Images and Real Object Recognition

  • Kenta Hara
  • Noriko Takemura
  • Yoshio Iwai
  • Kosuke Sato
Conference paper

DOI: 10.1007/978-3-642-25167-2_3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7040)
Cite this paper as:
Hara K., Takemura N., Iwai Y., Sato K. (2011) Table-Top Interface Using Fingernail Images and Real Object Recognition. In: Keyson D.V. et al. (eds) Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg

Abstract

Many researchers have proposed the development of table-top interfaces in the last decade. In a table-top system, for user satisfaction, they must be able to operate digital and analog media seamlessly. In this paper, we propose a table-top interface system that allows users to intuitively operate digital media by gesture recognition. The proposed system can capture the image of an object placed on the table by recognizing pressing gestures from fingernail images, and can transfer digital content by recognizing user’s shaking gestures. The evaluation experiments show that users can intuitively operate the proposed system without being aware of the data transmission.

Keywords

table-top interface object recognition gesture recognition fingernail image 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Kenta Hara
    • 1
  • Noriko Takemura
    • 1
  • Yoshio Iwai
    • 2
  • Kosuke Sato
    • 1
  1. 1.Graduate School of Engineering ScienceOsaka UniversityToyonakaJapan
  2. 2.Graduate School of EngineeringTottori UniversityTottori-shiJapan

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