Quikwriting: continuous stylus-based text entry
Proceedings of the 11th annual ACM symposium on User interface software and technology
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unigest: text entry using three degrees of motion
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Tech-note: rapMenu: Remote Menu Selection Using Freehand Gestural Input
3DUI '08 Proceedings of the 2008 IEEE Symposium on 3D User Interfaces
Multimedia Interaction and Intelligent User Interfaces: Principles, Methods and Applications
Multimedia Interaction and Intelligent User Interfaces: Principles, Methods and Applications
Accurate and efficient gesture spotting via pruning and subgesture reasoning
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Gesture-based interaction and communication: automated classification of hand gesture contours
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Twist&tap: text entry for TV remotes using easy-to-learn wrist motion and key operation
IEEE Transactions on Consumer Electronics
A gesture recognition algorithm for vision-based unicursal gesture interfaces
Proceedings of the 10th European conference on Interactive tv and video
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Hand gesture interfaces have been proposed as an alternative to the remote controller, and products with such interfaces have appeared in the market. We propose the vision-based unicursal gesture interface (VUGI) as an extension of our unicursal gesture interface (UGI) for TV remotes with touchpads. Since UGI allows users to select an item on a hierarchical menu comfortably, it is expected that VUGI will yield easy-to-use hierarchical menu selection. Moreover, gestures in the air such as VUGI offer an interface area that is larger than that provided by touchpads. Unfortunately, since the user loses track of his/her finger position, it is not easy to input commands continuously using VUGI. To solve this problem, we propose the dynamic detection zone and the detection axes. An experiment confirms that subjects can input VUGI commands continuously.