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Proceedings of the 18th annual conference on Computer graphics and interactive techniques
CHI '93 Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems
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CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pen computing for air traffic control
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Implications for a gesture design tool
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Visual similarity of pen gestures
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Model for unistroke writing time
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A set of handwriting families: style recognition
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
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ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
SHARK2: a large vocabulary shorthand writing system for pen-based computers
Proceedings of the 17th annual ACM symposium on User interface software and technology
GESTURE CONSISTENCY FOR TEXT, SPREADSHEET, GRAPHIC AND FORM FILL EDITING
ACM SIGCHI Bulletin
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CHI '05 Extended Abstracts on Human Factors in Computing Systems
Sketch Interpretation Using Multiscale Models of Temporal Patterns
IEEE Computer Graphics and Applications
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User-defined gestures for surface computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Iconic and multi-stroke gesture recognition
Pattern Recognition
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Computers and Graphics
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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
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CHI '10 Extended Abstracts on Human Factors in Computing Systems
A lightweight multistroke recognizer for user interface prototypes
Proceedings of Graphics Interface 2010
Understanding users' preferences for surface gestures
Proceedings of Graphics Interface 2010
Gesture search: a tool for fast mobile data access
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
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ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
ICFHR 2010 - Arabic Handwriting Recognition Competition
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recognizing sketched multistroke primitives
ACM Transactions on Interactive Intelligent Systems (TiiS)
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INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
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Pattern Recognition
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Pattern Recognition
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HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of Graphics Interface 2012
User-defined gestures for free-hand TV control
Proceedings of the 10th European conference on Interactive tv and video
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International Journal of Human-Computer Studies
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Little work has been done on understanding the articulation patterns of users' touch and surface gestures, despite the importance of such knowledge to inform the design of gesture recognizers and gesture sets for different applications. We report a methodology to analyze user consistency in gesture production, both between-users and within-user, by employing articulation features such as stroke type, stroke direction, and stroke ordering, and by measuring variations in execution with geometric and kinematic gesture descriptors. We report results on four gesture datasets (40,305 samples of 63 gesture types by 113 users). We find a high degree of consistency within-users (.91), lower consistency between-users (.55), higher consistency for certain gestures (e.g., less geometrically complex shapes are more consistent than complex ones), and a loglinear relationship between number of strokes and consistency. We highlight implications of our results to help designers create better surface gesture interfaces informed by user behavior.