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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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swell.sh
Web-based Terminal for Bash designed for mobile with autocomplete suggestion & gesture typing keyboard
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
In case anyone is interested, the $N-Protractor algorithm was ported to Python for use in the Kivy framework [0]. Unfortunately it's tied to kivy's clock among other things, but easy to rip it out should you need it in a different context. There is also anexample application that can be used to create gesture templates [1]
[0] https://github.com/kivy/kivy/blob/master/kivy/multistroke.py
[1] https://github.com/kivy/kivy/tree/master/examples/demo/multi...
I remember porting this to Objective-C for an iPhone project forever ago. That was fun exercise, and the algorithm works surprisingly well for how simple it is.
https://github.com/ddunkin/dollar-touch
I played around with it last few days and it is quite capable thing for its size and 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