1 Sketch tools and Related Research Rachel Patel

2 Outline  Introduction  InkKit Introduction  InkKit DEMO  Rachel’s Research Exploring better techniques for diagram recognition

3 Introduction Diagramming Paper & Pen vs Tablet PC Flexibility Encourages creativity >>Better designs Interaction like pen & paper Easy distribution More formal >>Better designs

4 InkKit  Diagramming sketch tool  Domain independent  Example driven recognition  Can transform diagrams into various formats e.g. Word documents, HTML, java

5 InkKit’s Recognition Engine Divider Strokes Tablet OS Recognition engine Joiner Basic Shape Recognition Component Recognition Domain SpecificDomain Independent Components Words Shapes InkKit DEMO

6 Rachel’s Research – Outline  Exploring better techniques for diagram recognition Motivation Method Experimental Results Implementation & DEMO Conclusions & Future Work

7 Motivation  Accurate recognition is vital to InkKit  Made difficult by the presence of both words and shapes in diagrams  Improving the divider of words and shapes is my focus  Also interested in improving basic shape recognition

8 Method  Gathered sketches  Extracted data  Special interest in pressure and time data  Analyzed data to identify which features could be used to distinguish between shapes and words  Implement & Evaluate

9 Experimental Results I Pen pressure for word and shape strokes

10 Experimental Results II Speed of circle and rectangle shape stroke

11 Experimental Results III Decision tree for word/shape divider

12 Implementation  3 main dividers My divider InkKit’s existing divider Microsoft divider  Variations of my divider and the existing divider in terms of stroke grouping Single Strokes Intersecting Strokes Close Strokes  DEMO

13 Conclusion and Future Work  Currently evaluating my divider against InkKit’s existing divider Microsoft divider  Further statistical analysis is being carried out in regards to improving basic shape recognition

14 Questions ???