one_dollar_unistroke_recognizer 0.1.0

The $1 Unistroke Recognizer, a 2D single-stroke recognizer.

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 SHARK2, 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.

You can read more about the $1 Unistroke Recognizer at depts.washington.edu/acelab/proj/dollar.

This Dart package is a port of the JavaScript version of the $1 Unistroke Recognizer, which you can find at depts.washington.edu/acelab/proj/dollar/dollar.js.

Usage

List<Offset> points = [...];
RecognizedUnistroke? recognized = recognizeUnistroke(points);
if (recognized == null) {
  print('No match found');
} else {
  print('Stroke recognized as ${recognized.name}');
}