Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Recognizing multistroke geometric shapes: an experimental evaluation
UIST '93 Proceedings of the 6th annual ACM symposium on User interface software and technology
Recognizing and interpreting diagrams in design
AVI '94 Proceedings of the workshop on Advanced visual interfaces
A domain-independent system for sketch recognition
Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia
MathPad2: a system for the creation and exploration of mathematical sketches
ACM SIGGRAPH 2004 Papers
Hierarchical parsing and recognition of hand-sketched diagrams
Proceedings of the 17th annual ACM symposium on User interface software and technology
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management 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
Free-sketch recognition: putting the chi in sketching
CHI '08 Extended Abstracts on Human Factors in Computing Systems
PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
Ink features for diagram recognition
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
A toolkit approach to sketched diagram recognition
BCS-HCI '07 Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI...but not as we know it - Volume 1
Automatic evaluation of sketch recognizers
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
Computational Support for Sketching in Design: A Review
Foundations and Trends in Human-Computer Interaction
Iconic and multi-stroke gesture recognition
Pattern Recognition
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
The power of automatic feature selection: Rubine on steroids
Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium
A data collection tool for sketched diagrams
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
RATA: codeless generation of gesture recognizers
BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
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While many approaches to digital ink recognition have been proposed, most lack flexibility and adaptability to provide acceptable recognition rates across a variety of problem spaces. Time and expert knowledge are required to build accurate recognizers for a new domain. This project uses selected algorithms from a data mining toolkit and a large feature library, to compose a tailored software component (Rata.SSR) that enables single stroke recognizer generation from a few example diagrams. We evaluated Rata.SSR against four popular recognizers with three data sets (one of our own and two from other projects). The results show that it outperforms other recognizers on all tests except recognizer and data set pairs (e.g. PaleoSketch recognizer and PaleoSketch data set) -- in these cases the difference is small, and Rata is more flexible. We hence demonstrate a flexible and adaptable procedure for adopting existing techniques to quickly generate accurate recognizers without extensive knowledge of either AI or data mining.