AI system recreates pianists’ hand motions for any musical score

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Scientists captured 10 hours of 3D hand motion data from 15 elite pianists playing 153 classical pieces. Using this dataset, they developed an AI system combining imitation learning, reinforcement learning, and diffusion models to generate realistic hand movements for new musical scores. The ability to recreate fine motor movement has potential applications in character animation, robotics, biomechanics, and virtual reality. (GitHub)

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