Heuristic Machine Learning Aimbot Detection: Mouse Trajectory and Biometrics: Fundamental Mechanics and Deep Mathematical Modeling

[Sarah Carter]

I’ve been building a heuristic detection model that analyzes mouse trajectory curvature and angular acceleration to flag suspicious aim patterns, but I’m hitting roadblocks on the math side. For anyone who’s actually worked with time-series biometric data—how do you handle sampling rate inconsistency across different mice and polling frequencies? I’m seeing heavy noise in the high-frequency jitter distribution that makes it nearly impossible to separate natural micro-corrections from the smooth interpolation typical of smoothing algorithms.

On the curvature analysis specifically, what baseline thresholds have you found reliable for distinguishing human versus machine angular acceleration spikes?

"Nintendo 64 with UltraHDMI mod + EverDrive 64 X7 setup."

[Author]

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