Video-based tracking of user's motion for augmented desk interface

Yoichi Sato, Kenji Oka, Hideki Koike, Yasuto Nakanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

This paper presents an overview of our project on an augmented desk interface system called the EnhancedDesk. The EnhancedDesk is equipped with an infrared camera for tracking a users' hand motions, a color video camera for recognizing objects, and projectors for displaying various kinds of digital information onto the desk. The key technical innovations of the EnhancedDesk include: fast and accurate tracking of multiple fingers for direct manipulation of both real and projected objects with bare hands, interactive object registration and recognition with hand gestures, vision-based tracking of a user's gaze, and addition of interactive functionality overlaid on the desk. This paper presents a brief description of the components, as well as some prototypes of applications of our augmented desk interface system.

Original languageEnglish
Title of host publicationProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Pages805-809
Number of pages5
DOIs
Publication statusPublished - 2004 Sep 24
Externally publishedYes
EventProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul, Korea, Republic of
Duration: 2004 May 172004 May 19

Publication series

NameProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Other

OtherProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
CountryKorea, Republic of
CitySeoul
Period04/5/1704/5/19

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Sato, Y., Oka, K., Koike, H., & Nakanishi, Y. (2004). Video-based tracking of user's motion for augmented desk interface. In Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 (pp. 805-809). (Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition). https://doi.org/10.1109/AFGR.2004.1301633