GroundSignal — The Sidewalk Told on Itself

说明与用途

GroundSignal 将手机运动数据转换为私有、可检查的表面报告，使用 TabPFN 和本地存储，无需收集位置信息。

问题

How to turn motion data from a phone into useful, privacy‑preserving surface evidence without turning it into surveillance.

结果

GroundSignal provides a privacy‑first, local‑first surface‑classification workflow that outputs probability‑aware reports without collecting location data.

工作流

• Choose mobility mode and phone placement
• Record at least two known surface types
• Start an audit and place phone in pocket/bag/mount
• Move naturally while GroundSignal records motion locally
• Finish audit and inspect surface signals
• Confirm, correct, or discard uncertain predictions
• Export evidence as CSV or JSON

证据

GroundSignal started with one question: can the motion already happening in your pocket become useful evidence without becoming surveillance?

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The AI core is TabPFN, which is well suited to the small, personal calibration sets this problem creates—and gives me probability evidence instead of a mystery label.

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GroundSignal is a local‑first pocket field instrument for the Hacktoberfest 2026 Week 1 Touch Grass challenge.

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Raw motion stays on the device. Only bounded derived features and personal calibration labels cross the explicit analysis boundary; probabilities return for local human review.

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