charliegerard/splat
Motion-controlled Fruit Ninja clone using Three.js & Tensorflow.js
Uses PoseNet for real-time pose estimation to track hand movements via webcam, enabling gesture-based fruit slicing without controllers. Built on Three.js for 3D rendering and physics simulation, with TensorFlow.js handling the ML inference entirely in-browser. The architecture leverages pose keypoints to detect cutting trajectories, demonstrating practical integration of computer vision with interactive 3D graphics.
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JavaScript
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Jun 24, 2021
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