AVI-HT adaptively fuses vision and IMU data via attention to cut 3D hand keypoint error by 16.1% (24.2% wrist-aligned) on a new 100K+ sample DexGloveHOI dataset in occluded hand-object scenarios.
Deep inertial poser: Learning to reconstruct human pose from sparse inertial measurements in real time.ACM Transactions on Graphics (TOG), 37(6):1–15, 2018
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AVI-HT: Adaptive Vision-IMU Fusion for 3D Hand Tracking
AVI-HT adaptively fuses vision and IMU data via attention to cut 3D hand keypoint error by 16.1% (24.2% wrist-aligned) on a new 100K+ sample DexGloveHOI dataset in occluded hand-object scenarios.