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An interface between users and virtual objects using two hands

Published:11 December 2011Publication 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.Google ScholarGoogle Scholar
  2. Lee, T., and Höllerer, T. 2007. Handy AR: Markerless inspection of augmented reality objects using fingertip tracking. In proceedings of IEEE ISWC'07. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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.Google ScholarGoogle Scholar
  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. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. An interface between users and virtual objects using two hands

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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

              Copyright © 2011 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 11 December 2011

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              Overall Acceptance Rate51of107submissions,48%

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