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Inertia-1 is a research project that systematically explores the full lifecycle of motion models—data, sensing, objectives, and scale—to produce a unified representation that transfers across body placements, devices, and tasks without retraining, leveraging self-supervised pretraining on 18 million hours of accelerometry data.
AnyMo is a geometry-aware framework for setup-agnostic human motion modeling using physics-grounded IMU simulation and graph encoding, achieving significant improvements in zero-shot activity recognition, cross-modal retrieval, and motion captioning across multiple datasets.