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$1 Unistroke Recognizer

depts.washington.edu

21–30 of 43 posts

Re: $1 Unistroke Recognizer

#21

It seems (from my experiments) that recognition treats all rotations of objects equally. So for instance it recognizes right bracket as left if drawn backwards. I think there should be a caveat warning there. I think it's a neat toy, but frankly I don't understand what attracts GUI designers to gestures. They seem lot more complicated than just buttons (even if you would have to push an extra button to get the menu),…

I like gestures for the same reason I like keyboard shortcuts: you don't have to aim. There's a tradeoff in UIs: large number of targets with few actions, or large number of actions with few targets. An example of the former is a typical web page, where every link is a target and the only actions are open and open-in-tab. An example of the latter is vim, where there are only a couple targets (buffer and command bar) and every key is an action.

Re: $1 Unistroke Recognizer

#26

Article did not answer my first question, which is why this thing is called "$1". I clicked expecting to discover some sort of cheap hardware device.

I'm confused by the name too. It seemed abundantly clear that they were hoping to collect a micropayment from people who used the software, until I read more and it turned out to just be the name of the software.

Re: $1 Unistroke Recognizer

#27

I wonder how the CPU and RAM requirements compare to this: https://en.wikipedia.org/wiki/Graffiti_(Palm_OS)

graffiti was excellent, we should look into reintroducing it for VR applications. you add touchpads to VR wands and you could have decent enough wpm.

Re: $1 Unistroke Recognizer

#29

Drawing anything with a clockwise motion I got a caret.

Sam here. The direction/ordering of the stroke seems important, I wonder why?

They could 'fix' this by adding reverse forms of each of the strokes. I wonder why they haven't? Does doing so drastically reduce the detection accuracy?

Re: $1 Unistroke Recognizer

#30
I built a game around this recognizer ("Magic Touch": https://www.youtube.com/watch?v=Ze9k0lseb-8 ). It's a very neat way to do shape recognition in real time. It's very well suited for mobile devices although it's far from being perfect. The interesting bit was to make the recognition lenient enough but still good enough to recognize the shapes accurately. Think about the difference between a 'V' and a 'U'. Anyway I would love to see more real world uses of this clever recognizer!
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