I played around with it last few days and I'm impressed by how capable thing is for its size / simplicity. It is actually cheap enough to run per-frame in real

I played around with it last few days and I'm impressed by how capable thing is for its size / simplicity. It is actually cheap enough to run per-frame in real-time, which is a fun way to see it in action and to check how soon it arrives at correct answer. Other commenters focused on 'issue' of gestures being directional. This is a great feature as you can fit more gestures into a set with correct recognition. For example you can have space and backspace as lines in different directions. It is also trivial to just add the reversed variants if needed. I had bigger problem with the algorithm being rotation-invariant. This means that '7' will easily be recognized as 'L'. Thankfully this is easy to fix. The recognizer can quite reliably recognize whole alphabet. I used Palm Graffiti designs as reference for training. One training sample was always enough. I checked out other multi-stroke recognizers on that page. They don't seem any more reliable, but all add more complexity. You have to detect when multi-stroke gesture is over which is not trivial. This uni-stroke version works wonderfully because gesture is done as soon as mouse button is released. Thank you for this submission! As say in the published article, this is often needed functionality and most of us think it's too complex to be worth it. Turns out the algorithm is quite simple and reliable. The Lua fork I worked on is available here: https://github.com/jmiskovic/lua-gestures https://github.com/jmiskovic/lua-gestures