GoKawiilPlacement transfer From one wrist to the whole body Pretrained on the wrist alone, it transfers to placements it never saw — hip, ankle, chest, and more. Multi-stream One sensor becomes many Fuse extra sensors and placements and accuracy climbs — the streams are complementary, not redundant. Rate-robust Steady from 1 Hz to 20 Hz Pretrained representations stay strong even at low sampling rates, with finer rates helping subtle health signals. Task-universal One model, every task The same backbone powers activity recognition, gait analysis, and long-horizon disease prediction. Health insight Movement, read as health Passive motion carries long-horizon health markers, linking everyday movement to clinical outcomes. Device-agnostic Works across devices & sensors Robust to new devices and sensor modalities, so it plugs into whatever a wearable already has.
Inertia-1 An Open Exploration to a Unified Motion Foundation Model