IMO the RNN is overkill of this problem, compared to a simple and elegant algorithm called "$1 unistroke recognizer". That one works beautifully even when trained with just a single sample of each gesture.
I hope $1 unistroke gets more recognition because it can be integrated in an afternoon into any project to add gesture recognition and make the UI more friendly.
It works quite reliably for palm style "Graffiti" text entry, as long as each letter is just a single stroke. The original paper also makes great effort to be readable and understandable.
I hope $1 unistroke gets more recognition because it can be integrated in an afternoon into any project to add gesture recognition and make the UI more friendly.
It works quite reliably for palm style "Graffiti" text entry, as long as each letter is just a single stroke. The original paper also makes great effort to be readable and understandable.
https://depts.washington.edu/acelab/proj/dollar/index.html