Summary
In this paper, Wobbrock introduces his "$1 recognizer". This recognizer is easy to implement compared to other methods of gesture recognizing, such as Rubine's method. The simple algorithm consists of resampling the point path, rotating the gesture based on "indicitave angle", scaling and translating to a reference square, and then finding the optimal angle for the best score. The score is computed as a function of the distance between the template points and the points of the gesture.
Discussion
This paper introduces a simple gesture recognizer that requires less processing to implement than many recognizer before it. The $1 recognizer provided accuracy rates of over 99% for a selection of gestures. However, since it changes the orientation and scale of each gesture that is input, it would not perform well with gestures such as arrows or shapes that may be similar such as squares and rectangles.
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