3 D Gestural Interaction : The State of the Field

  title={3 D Gestural Interaction : The State of the Field},
  author={Joseph J. LaViola},
3D gestural interaction provides a powerful and natural way to interact with computers using the hands and body for a variety of different applications including video games, training and simulation, and medicine. However, accurately recognizing 3D gestures so that they can be reliably used in these applications poses many different research challenges. In this paper, we examine the state of the field of 3D gestural interfaces by presenting the latest strategies on how to collect the raw 3D… CONTINUE READING
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Gesture recognition based on Hidden Markov Model from sparse representative observations

2012 IEEE 11th International Conference on Signal Processing • 2012
View 17 Excerpts
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Real-Time Human Pose Recognition in Parts from Single Depth Images

Machine Learning for Computer Vision • 2013
View 7 Excerpts
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Novel Haar features for real-time hand gesture recognition using SVM

Journal of Real-Time Image Processing • 2012
View 3 Excerpts
Highly Influenced

Real time hand pose estimation using depth sensors

2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops) • 2011
View 3 Excerpts
Highly Influenced

Recognition of spatiotemporal gestures in sign language using gesture threshold hmms

D. Kelly, J. McDonald, C. Markham, editors
inMachine Learning for Vision-Based Motion Analysis, Advances in Pattern Recognition, L. Wang, G. Zhao, L. Cheng, and M. Pietikainen, Eds., pp. 307–348, Springer, London, UK, 2011. • 2011
View 8 Excerpts
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Hand Gesture Recognition Based on MEB-SVM

2009 International Conference on Embedded Software and Systems • 2009
View 4 Excerpts
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Multiple-angle Hand Gesture Recognition by Fusing SVM Classifiers

2007 IEEE International Conference on Automation Science and Engineering • 2007
View 3 Excerpts
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