SOURCE-LINKED INTELLIGENCE
ArmPoser: Real-Time, Calibration-Free Arm Pose Estimation from Smartwatch IMU
Arm pose estimation enables applications in fitness, extended reality input, rehabilitation, and life logging. Prior smartwatch-based approaches rely on calibration poses and preprocessing pipelines that transform raw IMU measurements into standardized training formats. These steps hinder deployment in everyday settings and introduce errors due to imperfect calibration and sensor drift. We present ArmPoser, a calibration-free arm pose estimation system using a single smartwatch IMU. Our central contribution is training models directly in the reference frame native to consumer smartwatches, ali
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T14:33:30.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.