Oculomotor Smooth Pursuit Tracking Skill

Zero-dependency sovereign personal agent skill for non-invasive evaluation of Oculomotor Smooth Pursuit gain, retinal velocity error, and saccadic substitution kinetics.

flowchart TD
    TargetStimulus["Dynamic Visual Target Trajectory (Deg/s)"] --> EyeTracker["High-Speed Video Oculography (VOG)"]
    EyeTracker --> PursuitExtract["Decomposition: Smooth Pursuit vs Catch-Up Saccades"]
    PursuitExtract --> GainCalc["Velocity Gain & Phase Lag Calculations"]
    GainCalc --> PrecisionScore["Oculomotor Tracking Precision Engine"]
    PrecisionScore --> Agent["OpenClaw / Hermes Personal Agent Actions"]

Features

• Deterministic Math: Pure Python standard library implementation with zero external dependencies.
• Oculomotor Physiology Standards: Implements clinical eye-tracking velocity gain and phase angle calculations.
• Visual Fatigue & Attention Biomarker: Quantifies cognitive decoupling and saccadic substitution.
• Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Quickstart

from client import OculomotorSmoothPursuitClient

client = OculomotorSmoothPursuitClient()
result = client.evaluate_smooth_pursuit(
    target_velocity_deg_s=20.0,
    eye_smooth_velocity_deg_s=19.4
)
print("Pursuit Gain:", result["smooth_pursuit_gain"])
print("Classification:", result["classification"])

License

Apache-2.0