Rubine specifies a technique for gesture recognition using 13 features of the gesture. Using these 13 features with a linear classifier it can generally recognize a gesture to 90% accuracy with 15 pre-defined examples of each class. These gestures must have a known start and stop point to be able to be classified, so only individual parts of a sketch can be used.
It will be interesting to implement Rubine's but what will be more interesting is to use some of the extensions discussed at the end of the paper. The most interesting will be implementing this with multitouch to create my own multifinger gesture recognition.
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