2026-09-19T09:51:34Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1625012025-08-28T03:07:04Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Egozy, Eran
Abdulrezak, Ayyub
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2025-08-27T14:29:57Z
2025-08-27T14:29:57Z
2025-05
2025-06-23T14:00:46.938Z
https://hdl.handle.net/1721.1/162501
MIT has a wealth of pianos spread across its campus. These instruments are owned by various groups and MIT organizations. Every day, students, faculty, and extended members of the MIT community play and practice with them. However, there currently exists no available data on their usage. This project aims to create the infrastructure for capturing this data. To this end, we installed sensing equipment on pianos across campus, constructed a matching database and filesystem of all playing sessions across time, and established a public API for the retrieval of this data. The collected data will later be used to power a publicly accessible webpage of real-time and historical visualizations, as well as serve to bolster research efforts into the characteristic piano playing of MIT.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright retained by author(s)
https://rightsstatements.org/page/InC-EDU/1.0/
Octavio: A Distributed System for the Sensing, Storing,
and Retrieval of Piano Playing Data
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
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<Abstract>MIT has a wealth of pianos spread across its campus. These instruments are owned by various groups and MIT organizations. Every day, students, faculty, and extended members of the MIT community play and practice with them. However, there currently exists no available data on their usage. This project aims to create the infrastructure for capturing this data. To this end, we installed sensing equipment on pianos across campus, constructed a matching database and filesystem of all playing sessions across time, and established a public API for the retrieval of this data. The collected data will later be used to power a publicly accessible webpage of real-time and historical visualizations, as well as serve to bolster research efforts into the characteristic piano playing of MIT.</Abstract>
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