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| Auteurs principaux: | , |
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| Format: | Recurso digital |
| Langue: | |
| Publié: |
Zenodo
2025
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| Accès en ligne: | https://doi.org/10.5281/zenodo.19548187 |
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Table des matières:
- <p>This project presents a vision-based piano learning assistant that uses computer vision techniques to detect key presses from video input and provide real-time feedback through a gamified “falling notes” interface. Implemented on a Raspberry Pi, the system combines perspective correction, key segmentation, and skin tracking to achieve accurate detection while filtering noise such as shadows and reflections. A two-phase pipeline ensures high performance and smooth visualization, achieving around 93% accuracy and enabling an interactive and engaging piano learning experience.</p>