I have been trying to develop a tool for synthesizing human-like mouse movement in my application over the past few weeks. In the beginning, I used simple methods, such as polynomial and spline interpolation, however, even with a little noise, the result still did not appear human-like enough.
In an attempt to fix this problem, I studied ways to apply machine learning algorithms on real biometric mechanisms of mouse movement to synthesize mouse movements, studying recorded real human ones. Users will compile a profile of recorded movements that will train = program for synthesis purposes.
I searched for several weeks and read several articles on the application of reverse biometry in the generation of mouse dynamics, such as reverse biometrics for mouse dynamics ; however, they seek to focus, however, on creating realistic time from randomly generated dynamics , while I was hoping to create a path from specifically from A to B. In addition, I still need to actually come up with a path, not just a few speakers measured from one.
Does anyone have a few pointers to help noob?
Testing is currently being done by recording movements, and I and several other developers are watching the playback. Ideally, the movement will be able to deceive both the automatic biometric classifier and the real, lively, breathing Homo sapien.
java machine-learning biometrics
oldrinb Aug 14 2018-11-18T00: 00Z
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