The other algos in the family are more robust to this, but after experimenting, a RNN or vision model does much better on the consistency side of things.
Uni-stroke is much more elegant input method than multi-stroke. You can react to user's gesture as soon as they lift the mouse button (or stylus or finger), without introducing some arbitrary delay. Users can learn and become very fast at using gestures. Multi-stroke on the other hand requires coordination of each stroke with previous ones and to me it doesn't justify its complexity. I admit I have preference the software where users adapt and become proficient, while many products with wider audience need to be more accessible towards beginners. Different strokes...
> Different strokes...
I see what you did there :] I'm definitely in the reduce user burden camp.
https://quickdraw.withgoogle.com/ is a good baseline to start from for a more resilient gesture recognizer
I don't understand what you're trying to say here.