Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Parametric Hidden Markov Models for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual similarity of pen gestures
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Recognizing Temporal Trajectories Using the Condensation Algorithm
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Realtime Online Adaptive Gesture Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
A probabilistic approach to modeling two-dimensional pointing
ACM Transactions on Computer-Human Interaction (TOCHI)
Early Recognition and Prediction of Gestures
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
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
User-defined gestures for surface computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Scale detection for a priori gesture recognition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Insight into goal-directed movement strategies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Experimental analysis of touch-screen gesture designs in mobile environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Usable gestures for blind people: understanding preference and performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Continuous realtime gesture following and recognition
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
Making gestural input from arm-worn inertial sensors more practical
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GestureCommander: continuous touch-based gesture prediction
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Movement qualities as interaction modality
Proceedings of the Designing Interactive Systems Conference
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Gesture-based interaction is widespread in touch screen interfaces. The goal of this paper is to tap the richness of expressive variation in gesture to facilitate continuous interaction. We achieve this through novel techniques of adaptation and estimation of gesture characteristics. We describe two experiments. The first aims at understanding whether users can control certain gestural characteristics and if that control depends on gesture vocabulary. The second study uses a machine learning technique based on particle filtering to simultaneously recognize and measure variation in a gesture. With this technology, we create a gestural interface for a playful photo processing application. From these two studies, we show that 1) multiple characteristics can be varied independently in slower gestures (Study 1), and 2) users find gesture-only interaction less pragmatic but more stimulating than traditional menu-based systems (Study 2).