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An interface between users and virtual objects using two hands

Published: 11 December 2011 Publication History

Abstract

This paper presents a novel hand-based interface that provides natural interactions with virtual objects augmented on a user's palm. In the interface, virtual objects are easily selected by drawing predefined patterns on a palm of one hand with a finger of the other hand and recognizing the patterns. The selected virtual objects are augmented on the palm by estimating palm poses. To efficiently detect the patterns drawn with the finger, its trajectories are tracked using a wearable type of a visual marker. By estimating a wide range of palm poses and recognizing finger gestures, a user can naturally interact with the virtual objects augmented on the palm at various viewpoints. The feasibility of the interface is verified through our experimental results.

References

[1]
Choi, J., Park, H., and Park, J.-I. 2011. Hand shape recognition using distance transform and shape decomposition. In proceedings of ICIP'11.
[2]
Lee, T., and Höllerer, T. 2007. Handy AR: Markerless inspection of augmented reality objects using fingertip tracking. In proceedings of IEEE ISWC'07.
[3]
Lee, S. H., Choi, J., and Park, J.-I. 2009. Interactive e-learning system using pattern recognition and augmented reality. In proceedings of IEEE'09.
[4]
Seo, B.-K., Choi, J., Park, H., and Park, J.-I. 2008. One-handed interaction with augmented virtual objects on mobile devices. In proceedings of VRCAI'08.

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Published In

cover image ACM Conferences
VRCAI '11: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
December 2011
617 pages
ISBN:9781450310604
DOI:10.1145/2087756
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 December 2011

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Author Tags

  1. augmented reality interface
  2. hand detection
  3. hand gesture recognition
  4. pattern recognition

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  • Research-article

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VRCAI '11
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Overall Acceptance Rate 51 of 107 submissions, 48%

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