Gaze Verification Guide

The Agentive Gaze Tensor (AGT) system classifies eye movement into three biometric tensors: Cognitive (COG), Emotional (EMO), and Environmental (ENV). These form a unique gaze signature for authentication.

AGT Tensors

The three biometric tensor zones that power JETT Auth. Each tensor captures a distinct dimension of human cognition through iris movement analysis, forming a 3-dimensional biometric signature that is unique to every individual.

Every page in the OPTX documentation is tagged with its primary AGT tensor — visible in the Map of Augments and the header legend.

COG — Cognitive Tensor

Color: Yellow (#eab308) | Gaze Zone: Upper field | Iris landmarks: Proprietary mapping

The Cognitive tensor captures analytical attention — the patterns your eyes make when processing structured information, reading, reasoning, and solving problems. COG activation correlates with:

• Sustained fixation on text or data (long dwell times)
• Systematic scanning patterns (left-to-right, top-to-bottom)
• Saccade precision during focused reading
• Pupil constriction indicating concentrated focus

In the OPTX documentation, COG-tagged pages are conceptual and architectural: protocol specs, system architecture, how-things-work explanations, and API references.

EMO — Emotional Tensor

Color: Red (#f43f5e) | Gaze Zone: Lower-left field | Iris landmarks: Proprietary mapping

The Emotional tensor captures affective processing — the involuntary eye movements associated with emotional engagement, social cognition, and identity recognition. EMO activation correlates with:

• Rapid micro-saccades during emotional processing
• Pupil dilation responding to arousal or surprise
• Gaze aversion patterns (looking away during discomfort)
• Face-tracking fixations during social engagement

In the OPTX documentation, EMO-tagged pages relate to identity, personality, agent behavior, and human-facing interfaces: JOE, gaze verification, and the DOJO.

ENV — Environmental Tensor

Color: Blue (#60a5fa) | Gaze Zone: Lower-right field | Iris landmarks: Proprietary mapping

The Environmental tensor captures spatial awareness — how your eyes map physical and digital space, navigate interfaces, and track movement. ENV activation correlates with:

• Peripheral scanning (wide-field sweeps)
• Depth-of-field shifts (near-far accommodation changes)
• Motion tracking saccades following moving targets
• Spatial mapping patterns (building mental models of layouts)

In the OPTX documentation, ENV-tagged pages cover infrastructure, networking, on-chain addresses, edge hardware, and cross-chain bridging — the spatial fabric of the system.

Tensor Weights

Authentication uses the weighted combination of all three tensors, not any single one. The weight vector [COG, EMO, ENV] is normalized to sum to 1.0 and forms the basis for gaze-derived encryption seeds.

Integration Example

import { useGazeClassifier } from "@jettoptics/gaze-sdk"

function GazeAuth() {
  const { tensor, confidence, weights } = useGazeClassifier({
    camera: true,      // Enable webcam capture
    fps: 60,           // Classification frequency
    minConfidence: 0.7 // Minimum confidence threshold
  })

  // tensor: "COG" | "EMO" | "ENV"
  // confidence: 0.0 - 1.0
  // weights: { COG: number, EMO: number, ENV: number }

  // Store gaze data for attestation
  const attestGaze = async () => {
    await fetch("/api/gaze/store", {
      method: "POST",
      headers: { "Content-Type": "application/json" },
      body: JSON.stringify({
        gaze_x: gazePosition.x,
        gaze_y: gazePosition.y,
        cog_value: weights.COG,
        emo_value: weights.EMO,
        env_value: weights.ENV,
        confidence: confidence
      })
    })
  }
}

Minimum gaze duration threshold required for CSTB attestation (configurable governance parameter).

JETT Auth

Joule Encryption Temporal Template (JETT) derives privacy-preserving encryption keys from gaze biometrics. Your unique gaze pattern generates a deterministic seed that serves as a wallet signature vault.

Proof of you and your attention.

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