Table-Top interface using fingernail images and real object recognition

  • Authors:
  • Kenta Hara;Noriko Takemura;Yoshio Iwai;Kosuke Sato

  • Affiliations:
  • Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan;Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan;Graduate School of Engineering, Tottori University, Tottori-shi, Tottori, Japan;Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan

  • Venue:
  • AmI'11 Proceedings of the Second international conference on Ambient Intelligence
  • Year:
  • 2011

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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.