4 ms·
I once did an experiment on identifying based solely on keystroke timing: https://github.com/mturnshek/keystroke-timing-identifier https://github.com/mturnshek
by rytill 6y ago
I once did an experiment on identifying based solely on keystroke timing:
https://github.com/mturnshek/keystroke-timing-identifier https://github.com/mturnshek/keystroke-timing-identifier
I did not test it on a large group, but it worked pretty well for a group of ~8 styles and minimal data. I believe a deeper model with enough data could identify on a large scale through timing alone.
- ksaj 6y agoI believe this would work at most scales. Have you noticed how, for example, you can identify a guitar player easily, no matter what guitar they're playing on? When guitar players are first learning or are transcribing, they often slow the music down. If you slow it down enough, you can hear a pattern of the player slowing down and speeding up (behind and ahead of the beat). I believe that has a lot to do with that instant-identifiability, even though it is so hard to detect at speed.