This paper is an overview of a few techniques for basic pen gesture techniques. Note that these techniques are generally only good for recognizing a single stroke gesture and nothing more complex than that.
The first technique introduced is Rubines features. These features can distinguish gestures classes by using around 15 training examples. Rubines technique uses linear classifiers to compare a new gesture to all known classes and can distinguish between similar objects at different orientations. Long's feature set can be added to Rubines, but they do not add much additional capability at the cost of additional complexity and so they are not often used.
The second technique addressed is that of Wobbrock, the "$1 Gesture Recognizer". Wobbrock's method is simpler than Rubine's, however it is slower and unable to differentiate gestures that have been rotated or stretched.
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