The advances in Machine and Deep Learning (ML and DL, respectively) contribute to the evolution of modern Augmented Reality (AR) systems, adapting software to complex and interesting applications. Moreover, lower-end systems, such as smartphones, are now capable of running AR applications, albeit often requiring smaller and lighter DL and ML models to accommodate hardware limitations. In this context, we propose MusiKeyrtual, a lightweight application that allows users to play a musical keyboard drawn on paper; an improvement over the previous version, Keyrtual. The application requires only a smartphone to run. The pipeline proposed addresses the hardware limitations of smartphones, both in terms of limited computational capabilities and in terms of using a single RGB camera, which cannot detect depth. Quantitative and qualitative results highlight the effectiveness of the proposed pipeline in exploiting the capabilities of modern smartphones.

MusiKeyrtual: A Framework to Play a Musical Keyboard in Augmented Reality

Foresti G. L.;
2025-01-01

Abstract

The advances in Machine and Deep Learning (ML and DL, respectively) contribute to the evolution of modern Augmented Reality (AR) systems, adapting software to complex and interesting applications. Moreover, lower-end systems, such as smartphones, are now capable of running AR applications, albeit often requiring smaller and lighter DL and ML models to accommodate hardware limitations. In this context, we propose MusiKeyrtual, a lightweight application that allows users to play a musical keyboard drawn on paper; an improvement over the previous version, Keyrtual. The application requires only a smartphone to run. The pipeline proposed addresses the hardware limitations of smartphones, both in terms of limited computational capabilities and in terms of using a single RGB camera, which cannot detect depth. Quantitative and qualitative results highlight the effectiveness of the proposed pipeline in exploiting the capabilities of modern smartphones.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1316404
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