Show HN: PES Benchmark v0.2 – Detecting AI-generated motion (Cohen's d=10.4)

Category: security

Tags: zero-knowledge-proofs, digital-identity, motion-verification

Score: 7.0/10 (Innovation: 8, Technical: 8, Documentation: 8, Utility: 4)

MyShape Protocol proposes a novel approach to digital identity by using human motion as a zero-knowledge proof of continuity, aiming to solve the problem of AI-generated forgery. Its technical stack integrates MediaPipe, ZK-SNARKs, and on-chain verification into a cohesive architecture, presented with extensive documentation. While innovative, its utility is currently niche, targeting blockchain and identity-verification use cases in a simulation-adjacent context.

Target audience: blockchain developers, security engineers, identity protocol architects

Repository: https://github.com/myshapeprotocol/myshape-protocol · TypeScript

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