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OneDollar-Unistroke-Recognizer

Implementation of the $1 Gesture Recognizer, a two-dimensional template based gesture recognition, for Processing.

Table of Contents

About

The $1 Gesture Recognizer is a research project by Wobbrock, Wilson and Li of the University of Washington and Microsoft Research. It describes a simple algorithm for accurate and fast recognition of drawn gestures.

Gestures can be recognised at any position, scale, and under any rotation. The system requires little training, achieving a 97% recognition rate with only one template for each gesture.

Wobbrock, J.O., Wilson, A.D. and Li, Y. (2007). Gestures without libraries, toolkits or training: A $1 recognizer for user interface prototypes. Proceedings of the ACM Symposium on User Interface Software and Technology (UIST '07). Newport, Rhode Island (October 7-10, 2007). New York: ACM Press, pp. 159-168.

Download

View releases for older versions of that library.

Installation

Unzip and put the extracted OneDollarUnistrokeRecognizer folder into the libraries folder of your Processing sketches. Reference and examples are included in the OneDollarUnistrokeRecognizer folder.

Tested

System:

Processing version:

Older versions of Processing aren't supported because of these changes. View releases for older versions of that library.

Examples

Usage

Import the library, create an instance of OneDollar, add gestures, define binds, implement these callbacks and track your moves. And of course, have fun. The following example shows the simplest usage of the library. Please check the others examples to discover more useful features.

import de.voidplus.dollar.*;

OneDollar one;

void setup(){
    size(500, 500);
    background(255);
    // ...
    
    // 1. Create instance of class OneDollar:
    one = new OneDollar(this);
    // println(one);               // Print all settings
    // one.setVerbose(true);       // Activate console verbose
    
    // 2. Add gestures (templates):
    one.learn("circle", new Integer[] { 127,141 , 124,140 , 120,139 , 118,139 /* ... */ });
    one.learn("triangle", new Integer[] { 137,139 , 135,141 , 133,144 , 132,146 /* ... */ });
    one.learn("rectangle", new Integer[] { 135,141 , 133,144 , 132,146 , 132,146 /* ... */ });
    // one.forget("circle");

    // 3. Bind templates to methods (callbacks):
    one.on("circle", "foo");
    one.on("triangle rectangle", "bar");
    // one.off("circle");
}

void draw(){
    background(255);
    // ...

    // Optional draw:
    one.draw();
}

// 4. Implement callbacks:
void foo(String gestureName, float percentOfSimilarity, int startX, int startY, int centroidX, int centroidY, int endX, int endY){
    println("Gesture: " + gesture + ", " + startX + "/" +startY + ", " + centroidX + "/" +centroidY + ", " + endX + "/" +endY);
}
void bar(String gestureName, float percentOfSimilarity, int startX, int startY, int centroidX, int centroidY, int endX, int endY){
    println("Gesture: " + gesture + ", " + startX + "/" +startY + ", " + centroidX + "/" +centroidY + ", " + endX + "/" +endY);
}

// 5. Track data:
void mouseDragged(){
    one.track(mouseX, mouseY);
}

Questions?

Don't be shy and feel free to contact me on Twitter: @darius_morawiec

License

The library is Open Source Software released under the License.