Synthesis of Self: Passive Typing Telemetry for Individual Identity Profiling and Cognitive State Diagnostics

This paper delivers a high-velocity translation of the parent Synthesis of Self framework, converting a 100-page information-theoretic model of dual-hemispheric integration into an economical, highly scalable behavioral telemetry utility. Rooted in Karl Friston’s Free Energy Principle and functional hemispheric lateralization, the framework models the central nervous system as an asymmetric dual-processor engine. It quantifies the real-time interaction between a discrete tokenization network (the Language-Dominant Hemisphere Manager) and a continuous analog field-processor (the Relational Hemisphere Architect) via a transcallosal coupling coefficient (C). To establish out-of-sample empirical validity, the model's fixed calibration constants were applied to the massive Aalto University keystroke database (N = 91,034 independent human subjects operating under allostatic load). The data reveals a violent, non-linear bifurcation of motor execution output into two stable phenotypic attractor regimes (Executive Fracture vs. Defensive Armor), punctuated by a distinct 25.77% global processing latency surge—the Complexity Stall. Furthermore, a targeted sub-cohort analysis isolates a sub-syndromal "Starving Artist" attractor well, mathematically defining the exact transcallosal saturation ceiling where intense internal cognitive richness is bound by severe external operational latency. By bypassing traditional laboratory neuroimaging bottlenecks, this utility establishes a disruptive dual-use diagnostic and security framework. For enterprise cybersecurity, it yields a passive, continuous identity lock that resolves the costly False Rejection Rate (FRR) by natively recognizing and mapping an authorized user's multi-state neural trajectory under stress. For computational psychiatry and corporate wellness, it delivers a zero-cost, real-time index of cognitive load, dynamic reserve capacity, and hysteretic fatigue recovery to track clinical trajectories and performance thresholds with micro-temporal precision.