Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Implications for a gesture design tool
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
SHARK2: a large vocabulary shorthand writing system for pen-based computers
Proceedings of the 17th annual ACM symposium on User interface software and technology
HMM-based efficient sketch recognition
Proceedings of the 10th international conference on Intelligent user interfaces
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
The peaking phenomenon in the presence of feature-selection
Pattern Recognition Letters
Gesture Recognition Based on Elastic Deformation Energies
Gesture-Based Human-Computer Interaction and Simulation
Using strokes as command shortcuts: cognitive benefits and toolkit support
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Iconic and multi-stroke gesture recognition
Pattern Recognition
Proceedings of the 15th international conference on Intelligent user interfaces
MAGIC: a motion gesture design tool
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
A lightweight multistroke recognizer for user interface prototypes
Proceedings of Graphics Interface 2010
Protractor3D: a closed-form solution to rotation-invariant 3D gestures
Proceedings of the 16th international conference on Intelligent user interfaces
Estimating the perceived difficulty of pen gestures
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
1F: one accessory feature design for gesture recognizers
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Small gestures go a long way: how many bits per gesture do recognizers actually need?
Proceedings of the Designing Interactive Systems Conference
Gestures as point clouds: a $P recognizer for user interface prototypes
Proceedings of the 14th ACM international conference on Multimodal interaction
The impact of motion dimensionality and bit cardinality on the design of 3D gesture recognizers
International Journal of Human-Computer Studies
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We investigate in this work the effect of motion sampling rate over recognition accuracy and execution time for current template-based gesture recognizers in order to provide performance guidelines to practitioners and designers of gesture-based interfaces. We show that as few as 6 sampling points are sufficient for Euclidean and angular recognizers to attain high recognition rates and that a linear relationship exists between sampling rate and number of gestures for the dynamic time warping technique. We report execution times obtained with our controlled downsampling which are 10-20 times faster than shown by existing work at the same high recognition rates. The results of this work will benefit practitioners by providing important performance aspects to consider when using template-based gesture recognizers.