Show HN: PES Benchmark v0.2 – Detecting AI-generated motion (Cohen's d=10.4)
The MyShape Protocol introduces a novel approach to digital identity verification by analyzing human motion patterns to distinguish real users from AI-generated imposters, achieving unprecedented separation with Cohen's d=10.4 in its PES benchmark.
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The Sovereign Continuity Layer for the Simulation Age.
Identity tells you who someone claims to be. Continuity tells you they are still them. Motion-signature verification. Zero-knowledge presence. AI-native identity.
Overview
MyShape Protocol is the first continuity layer for digital identity — a protocol that verifies not just who you are, but that you are still you, continuously.
In an era where AI can generate faces, clone voices, and forge fingerprints, static identity verification is broken. MyShape introduces Proof of Continuity: a cryptographic primitive anchored in the irreducible entropy of human motion.
Camera → MediaPipe Pose (33-pt) → SST Topology (18-pt) → 4D PES Engine (128-dim Motion Vector) → ZK-SNARK Proof (~250 bytes) → Continuity Proof verified on-chain
All processing is on-device. Zero raw data leaves your device. ZK-Presence proves you are human without surveillance.
Quick Links
Resource URL
🌐 Website myshape.com
📖 Protocol Log (Blog) myshape.com/blog
🔬 Motion Demo (Live) myshape.com/motion-demo
📊 Protocol Comparison myshape.com/compare
📚 Glossary (30 terms) myshape.com/glossary
📄 Whitepaper myshape.com/whitepaper
🔧 Developer Docs myshape.com/developers
🤖 AI Agent Registration myshape.com/agent
Featured Essays
What Is Proof of Continuity? — The missing primitive for the Agent Economy
What Is Decentralized Identity? (2026 Guide) — DID, SSI, VCs, PoP, PoC explained
Zero-Knowledge Proofs Explained — What ZK means for digital identity
Motion vs Biometrics — Why your face is not a password
Proof of Personhood vs Proof of Continuity — Two problems, two protocols
AI Agent Identity — How autonomous agents prove who they are
Core Concepts
Motion-Signature
A 128-dimensional vector extracted from real-time 3D pose sequences across four independent feature groups (kinematics, acceleration, jerk, jerk spectrum). AI cannot simulate this due to three hard mathematical limits: the Nyquist limit, depth ambiguity, and the entropy gap theorem.
Presence Entropy Score (PES)
A 0-100 score quantifying the biological entropy in motion across four dimensions: micro-timing variance, noise residual, frequency entropy, and biological perturbation. Human motion consistently scores 70+. AI-generated motion scores below 20.
Proof of Continuity
A cryptographic attestation that a digital subject has maintained unbroken sovereignty across time. Three primitives: Presence Receipts → Entropy Transformation → State-Chain Evolution.
ZK-Presence
A zero-knowledge proof (~250 bytes, .supabase.co NEXT_PUBLIC_SUPABASE_ANON_KEY=sb_publishable_... SUPABASE_SERVICE_ROLE_KEY=sb_secret_... RESEND_API_KEY=re_...
Brand Compliance
All code, copy, metadata follows de-corporealized identity language:
✅ Use ❌ Never Use
entity, agent, silhouette gendered identifiers
wireframe anatomy, data-outline biological signifiers
ethereal data energy, particle body aesthetic judgments
motion-signature, kinetic verification profile images, avatars
non-binary aesthetic, non-corporeal biometric identification
Pre-commit hooks enforce these rules automatically.
License
Proprietary. All rights reserved.
The Continuity Layer for the Simulation Age. One Genesis at a time.
About
The Sovereign 3D Identity Layer for the Decentralized Human.
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