Introduction
$N is a recognizer based on wobbrock's $1 recognizer, extending it and giving it several new abilities. The most important extension is that $N is now a multistroke recognizer. This is achieved by connecting the endpoints of the multiple strokes together to form a unistroke and then interpolating all the different possible ways the multiple strokes could be connected. This in essence treats the user's whole gesture, both when their pen is drawing on the screen and when it is in the air, as a unistroke. The second improvement is that $N introduces bounded rotation invariance so that it can distinguish between gestures that have been rotated if necessary. The third change is that $N can now recognize the difference between 1D and 2D gestures. Finally there are a few optimizations that are included, the first is using the start angle of the gesture to constrain the search space and the second is by using the number of strokes to to further restrict the search space.
Discussion
$N adds several useful changes to $1 that makes $1 more flexible without losing very much of the simplicity of $1. What i like the most is the way in which they decided to bring multistroke gestures down to a single stroke in order to use the existing methods of $1 to analyze them.
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