Skip to content
AI News HubLIVE
More
Summary only

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.

SourceHacker News AIAuthor: myshapeprotocol
Show HN: PES Benchmark v0.2 – Detecting AI-generated motion (Cohen's d=10.4)
Report an error

The correction channel is not available yet. You can copy the article reference below for later.

Correction instructions

Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

Article intelligence

EngineersAdvanced

Key points

  • MyShape Protocol uses motion-signature verification to prove continuous human presence.
  • Presence Entropy Score (PES) quantifies biological motion entropy; human score >70, AI <20.
  • Zero-knowledge proofs ensure privacy: no raw motion data leaves the device.
  • Achieves Cohen's d=10.4 in distinguishing human from AI motion, far exceeding traditional biometrics.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

More recent stories on this topic · Agents

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