Inertia-1: An Open Exploration of Wearable Motion Foundation Models

Summary

Inertia-1 (UCLA Yang AI Lab, Duke, JHU, July 2026) is a fully open, controlled benchmark and cookbook for wearable motion foundation models — not a single FM, but a systematic study of how pretraining objectives, sensing configurations, data scale, and downstream tasks jointly shape transferable motion representations.