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Communications of the ACM - Special issue on computer augmented environments: back to the real world
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Multiple-Human Tracking Using Multiple Cameras
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Automatic Handwriting Gestures Recognition Using Hidden Markov Models
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Estimating virtual touchscreen for fingertip interaction with large displays
OZCHI '06 Proceedings of the 18th Australia conference on Computer-Human Interaction: Design: Activities, Artefacts and Environments
A real-time hand tracker using variable-length Markov models of behaviour
Computer Vision and Image Understanding
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ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Fast hand detection using posture invariant constraints
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
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Alphanumeric shape recognition of fingertip writing trajectory
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
Video-based tracking of user's motion for augmented desk interface
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Vision-Based Fingertip-Writing Character Recognition
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Three dimensional fingertip tracking in stereovision
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Visual tracking for seamless 3d interactions in augmented reality
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
A hierarchical approach to continuous gesture analysis for natural multi-modal interaction
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International Journal of Human-Computer Studies
Seeing double: reconstructing obscured typed input from repeated compromising reflections
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Journal of Visual Communication and Image Representation
Hand shape classification using depth data for unconstrained 3D interaction
Journal of Ambient Intelligence and Smart Environments - Ambient and Smart Component Technologies for Human Centric Computing
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The authors introduce a fast and robust method for tracking a user's hands and multiple fingertips. They then demonstrate gesture recognition based on measured fingertip trajectories for augmented desk interface systems. This tracking method is capable of tracking multiple fingertips in a reliable manner even in a complex background under a dynamically changing lighting condition without any markers. The authors' gesture recognition system is particularly advantageous for human-computer interaction (HCI) in that users can achieve interactions based on symbolic gestures at the same time that they perform direct manipulation with their own hands and fingers.