Karan Ahuja

Wearable arm pose estimation no longer requires awkward calibration poses or coordinate transforms: learning directly in the device's native IMU frame matches calibrated state-of-the-art baselines out of the box.

Training a foundation model on a trillion minutes of wearable sensor data unlocks surprisingly accurate predictions across a wide range of health conditions, even with limited labeled data.