Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unencumbered Gestural Interaction
IEEE MultiMedia
Model-Based Analysis of Hand Posture
IEEE Computer Graphics and Applications
Towards 3D hand tracking using a deformable model
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Vision based hand modeling and tracking for virtual teleconferencing and telecollaboration
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
An Appearance-Based Framework for 3D Hand Shape Classification and Camera Viewpoint Estimation
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Wormholes in Shape Space: Tracking through Discontinuous Changes in Shape
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Visual panel: virtual mouse, keyboard and 3D controller with an ordinary piece of paper
Proceedings of the 2001 workshop on Perceptive user interfaces
Research on Sampling Methods in Particle Filtering Based upon Microstructure of State Variable
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Proceedings of the 12th International Conference on Interaction Design and Children
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The ability to accurately track hand movement provides new opportunities for human computer interaction (HCI). Many of today's commercial hand tracking devices based on gloves can be cumbersome and expensive. An approach that avoids these problems is to use computer vision to capture hand motion.In this paper, we present a complete real-time hand tracking and 3-D modeling system based on a single camera. In our system, we extract feature points from a video stream of a hand to control a virtual hand model with 2-D global motion and 3-D local motion. The on screen model gives the user instant feedback on the estimated position of the hand. This visual feedback allows a user to compensate for the errors in tracking.The system is used for three example applications. The first application uses hand tracking and gestures to take on the role of the mouse. The second interacts with a 3D virtual environment using the 3D hand model. The last application is a virtual DJ system that is controlled by hand motion tracking and gestures.