doughtmw/hmd-ego-pose
A single-shot learning-based approach to hand and object pose estimation, made available on a head-mounted display.
This project helps surgical teams accurately track the real-time position and orientation of hands and surgical tools during procedures using an augmented reality headset. It takes live video streams from head-mounted displays like the HoloLens 2 and outputs precise pose estimates for hands and rigid surgical instruments, such as drills. This is ideal for surgeons and surgical technicians who need immediate, visual guidance during complex operations.
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Use this if you need a reliable, real-time method for augmented surgical guidance that shows you exactly where your hands and tools are in 3D space, integrated with a head-mounted display.
Not ideal if you require pose estimation for flexible objects, non-surgical applications, or if you don't have access to an optical see-through head-mounted display and a computing workstation.
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Language
C#
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Last pushed
Jun 20, 2022
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