[chants]

Does anyone know how we could build a huge database of "natural" mouse movements in a given context.

For example robot versus human detection is done almost exclusively now based on how the movement of the mouse goes. But we all know using tons of Sleep and mouse arc shapes pixel gap by pixel gap and such could theoretically look exactly as per human behavior. But ideally one would have a very large database of natural mouse movement. Of course every context - e.g. click a button, drag and drop, scroll, etc has a different set of signature movements.

Even online games now are able to detect cheating 99.99% of the time using mouse movements or perhaps touch screen for a mobile device. But it seems like the big obvious research area is realistic mouse movement faking which will give a big headache in differentiating again. After that all that is left is checking if a person is too perfect or too excellent even with image identification, written questions, games, as neural network training algorithms are showing now as humans tend to err at certain tasks given enough repetitions but even that can be easily heuristically faked.

Any ideas or thoughts or experience on this?