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UID:siggraph_SIGGRAPH 2026_sess110_papers_216@linklings.com
SUMMARY:EgoForce: Forearm-Guided Camera-Space 3D Hand Pose from a Monocula
 r Egocentric Camera
DESCRIPTION:Christen Millerdurai (DFKI, Max Planck Institute for Informati
 cs); Shaoxiang Wang and Yaxu Xie (DFKI); Vladislav Golyanik (Max Planck In
 stitute for Informatics); and Didier Stricker and Alain Pagani (DFKI)\n\nE
 goForce enables real-time 3D hand pose, shape, and absolute position recov
 ery from a single head-mounted RGB camera. Designed for lightweight smart 
 glasses, it uses forearm cues and camera-aware ray-space lifting to provid
 e precise tracking across diverse camera models and device setups.\n\nInte
 rest Area: Research & Education\n\nKeyword: Animation, Artificial Intellig
 ence/Machine Learning, Generative AI, Geometry, Modeling, Simulation, Virt
 ual Reality\n\nRegistration Category: Full Conference Supporter, Full Conf
 erence\n\nSession Chair: Ruizhen Hu (Shenzhen University (SZU))\n\n
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