Summary
This article is an introduction to gesture recognition while insisting on the fact that in order for gesture recognition to be helpful for sketch recognition, the path followed by the stroke plays an important role. Subsequently the pros and cons of gesture recognition are explained (e.g. gestures are suitable for commands not for drawings). The rest of the article basically elaborates on three papers on gesture recognition.
First, Dean Rubine’s early work on this field is a linear classifier with a 13 hand-picked features of a stroke. The features include some measures of the shape and size of the bounding box, the angular motion and smoothness of the stroke, etc. The timestamps are not used extensively in the feature set.
Christopher Long’s work was apparently similar to Rubine’s but with additional features that include some nonlinear combinations of the previous one. However the new feature set did not make a significant improvement.
Finally Jacob Wobbrock performs the recognition from another perspective. His system introduces a rotation and scale invariant method in which point-wise comparison is made between the user stroke and class templates.
Discussion
This reading clarifies the jargon and act as an introduction to subsequent readings. It also explicates the Rubine’s feature set and at the same time proposes challenging question on the implementation issues such as duplicate points or timestamps. These questions make the reader more acquainted with the subject. Nonetheless, there are some image place holders in the document that have to be filled or corrected.
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