Stanford researchers are using AI to study the hand movements of elite piano players to reduce injury risks. They presented a model that recreates the hand movements and physical stresses of playing complex music at SIGGRAPH Asia 2024. This research aims to make piano playing more equitable, especially for those with smaller hands, by testing solutions like narrower keyboards. Elizabeth Schumann, co-author of the study, highlighted the need for equipment that fits all pianists, similar to athletes. The team recorded 15 elite pianists playing 10 hours of music, using computer vision to reconstruct their hand motions in 3D. The AI model can simulate hand movements for new music, providing insights into injury prevention. Future work will include simulating muscle and tendon strains to further aid musicians. The researchers are also applying their techniques to other instruments, such as guitar, to enhance performance.

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