Bare-hand human-computer interaction
Proceedings of the 2001 workshop on Perceptive user interfaces
Visual tracking of bare fingers for interactive surfaces
Proceedings of the 17th annual ACM symposium on User interface software and technology
A Survey on Skeletons in Digital Image Processing
ICDIP '09 Proceedings of the International Conference on Digital Image Processing
Hand gesture recognition with a novel IR time-of-flight range camera: a pilot study
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Goal evaluation of segmentation algorithms for traffic sign recognition
IEEE Transactions on Intelligent Transportation Systems
3-D hand posture recognition by training contour variation
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Robust hand gesture recognition with kinect sensor
MM '11 Proceedings of the 19th ACM international conference on Multimedia
IEEE Transactions on Image Processing
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This article presents an image processing application for hand detection and tracking using the 4-connected skeleton of the segmentation mask. The system has been designed to be used with techniques of virtual reality to develop an interactive application for phantom limb pain reduction in therapeutic treatments. One of the major contributions is the design of a fast and accurate skeleton extractor, that has proven to be faster than those available in the literature. The skeleton allows the system to precisely detect the position of all the interest points of the hand (namely the fingers and the hand center). The system, composed of both the hand detector and tracker, and the virtual reality application, can work in real-time, allowing the patient to watch the virtual image of his own hand on a screen.