Tag Archives: mmg

New $N multistroke gesture set released!

I am pleased to announce that the Mixed Multistroke Gestures (MMG) dataset from our GI 2012 paper is now publicly available for download! It contains samples from 20 people who entered each of 16 gesture types 10 times, using either their finger or a stylus on a Tablet PC, at three different speeds (slow, medium, fast), for a total of 9600 samples. The samples are stored in the $N Recognizer‘s data format, and each person’s samples are separated into user-speed sub-folders. See more details on the gestures, the users who entered them, and $N’s accuracy in recognizing them in our GI 2012 paper. You may download the dataset here. If you use it in your work, please cite us!

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