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This invention describes a way for a computer system to switch between different control modes using a user's body movements or poses. Imagine you're controlling one part of a system with gestures; if you make a specific movement, the system can then switch to letting your gestures control a different part or application. The core idea is managing this transition of control between modes based on what the user does with their body.
Why it matters: Filed before modern machine learning made robust, real-time gesture recognition and pose estimation widely feasible on consumer hardware. Today's ubiquitous high-resolution cameras and powerful processors make this software-driven mode switching much more practical.
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