Metaverse Avatar Behavioral Biometrics

Metaverse and VR platforms track head and controller motion continuously, and that motion has its own signature — how fast someone turns their head, how far they reach, the natural jitter and rhythm of their movement. This simulator renders a 3D avatar inside a tracked volume, builds a live feature vector from its head and hand trajectories, and compares it against an enrolled baseline with cosine similarity, exactly as a continuous behavioral-biometric authentication layer would. Trigger a spoofed or replayed motion stream to watch the live signature drift away from the baseline, the anomaly score climb, and the session lock once similarity falls below the detector's threshold — while the sensitivity and noise controls show the real trade-off between catching impersonation and tolerating a legitimate user's natural variation.