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Commits on Apr 20, 2026

• Pivot gaze pipeline to classification-first

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Commits on Apr 19, 2026

• feat(events): dwell-gated first_read + mouse-last-word + gaze override

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• feat(theme): cream-white lighting mode — monitor as diffused key light

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• feat(export): LLM-grade reading trace — word-level data + event sourcing

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• feat(reader-cursor): mouse-driven reading + word-level tracking

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• feat(gaze): EMA smoothing + denser grid for side-eye accuracy

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• feat(calibration): stationary dots, denser grid, realistic threshold

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• feat(calibration): smooth bell-envelope dot animation

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• feat(calibration): grid method — viewport-fixed dots, no scroll

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• feat(calibration): scanning-dot collection + speed trims

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• fix(calibration): second stale accuracy reference in return statement

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• fix(calibration): validation threshold check used the old var name

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• feat(ensemble): multi-head classifier — train multiple versions at once

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• feat(gaze-mode): add regression mode — predict viewport coords, hit-test

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• fix(calibration): rename leftover contentBricks → contentBricksAll

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• feat(pagination): page field on bricks, no auto-scroll, tighter classifier gates

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• fix(calibration): dot-placement timing + persistent webcam preview

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• fix(deps): bump @mediapipe/tasks-vision to 0.10.34

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• docs(handoff): add VALIDATION_HANDOFF.md for Vario

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• chore(css): remove dead WebGazer-specific selectors from app.css

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• docs: update PROJECT_KNOWLEDGE.md for v0.2

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• docs: update README for v0.2 architecture

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• test(pipeline): integration test for Features → Classifier → Gaze

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• test(classifier): unit tests for MLP build/train/predict/argmax

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• test(features): unit tests for feature extraction + normalization

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• test(fixtures): synthetic landmark generator + DOM test harness

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• feat(export): include classifier + normalization metadata in v0.2 export

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• feat(telemetry): surface classifier confidence and head pose

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• refactor(app): wire v0.2 pipeline into main loop, drop WebGazer

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• feat(gaze): rewrite pipeline to consume classifier output

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• feat(calibration): replace 9-point with per-brick classifier calibration

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• feat(config): add v0.2 tunables for MediaPipe, classifier, calibration

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• feat(classifier): TensorFlow.js MLP for feature→brick classification

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• feat(features): geometric feature extraction for gaze classifier

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• feat(face-landmarker): add MediaPipe Face Landmarker wrapper

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