Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
SHARK2: a large vocabulary shorthand writing system for pen-based computers
Proceedings of the 17th annual ACM symposium on User interface software and technology
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Modeling human performance of pen stroke gestures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Protractor: a fast and accurate gesture recognizer
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The effect of sampling rate on the performance of template-based gesture recognizers
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Relative accuracy measures for stroke gestures
Proceedings of the 15th ACM on International conference on multimodal interaction
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One Feature (1F) is a simple and intuitive pruning strategy that reduces considerably the amount of computations required by Nearest-Neighbor gesture classifiers while still preserving the high recognition rate. Performance results are reported for 1F by analyzing a large set of candidate features showing recognition rates of 99% with a peak reduction in computations of 70%. 1F is easy to implement, flexible with respect to the choice of the feature, and exploits the intuition of the designer by exposing clear inner workings.