Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes
Proceedings of the 20th annual ACM symposium on User interface software and technology
Bringing physics to the surface
Proceedings of the 21st annual ACM symposium on User interface software and technology
MicroRolls: expanding touch-screen input vocabulary by distinguishing rolls vs. slides of the thumb
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User-defined gestures for surface computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Protractor: a fast and accurate gesture recognizer
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Gesture search: a tool for fast mobile data access
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Monte carlo methods for managing interactive state, action and feedback under uncertainty
Proceedings of the 24th annual ACM symposium on User interface software and technology
Hi-index | 0.00 |
Gesture inputs on multi-touch tabletops usually involve multiple fingers (more than two) and casual touchdowns or liftoffs of fingers. This flexibility of touch gestures allows more natural user interaction, but also poses new challenges for accurate recognition of multi-touch gestures. To address these challenges, we propose a new approach to recognize flexible multi-touch stroke gestures on tabletops. Based on a user study on multi-touch unistroke gestures, we develop a gesture recognition method by extracting key strokes embedded in flexible multi-touch input. Our evaluation study result shows that this method can greatly improve the recognition accuracy of flexible multi-touch unistroke gestures on tabletops.