$1 Recognizer : vimarsana.com
$1 Recognizer
About
The
$1 Unistroke Recognizer is a 2-D single-stroke recognizer designed for rapid prototyping of gesture-based
user interfaces. In machine learning terms, $1 is an instance-based nearest-neighbor classifier with a 2-D Euclidean
distance function, i.e., a geometric template matcher. $1 is a significant extension of the proportional shape matching
approach used in SHARK
2, which itself is
an adaptation of Tappert s elastic matching approach
with zero look-ahead. Despite its simplicity, $1 requires very few templates to perform well and is only about
100 lines of code, making it easy to deploy.
An optional enhancement called Protractor improves $1 s speed.
The $N Multistroke Recognizer extends $1 to gestures with multiple strokes.
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