dc.contributor.advisor | Machover, Tod | |
dc.contributor.advisor | Egozy, Eran | |
dc.contributor.author | Kydd, Aria | |
dc.date.accessioned | 2024-10-09T18:28:55Z | |
dc.date.available | 2024-10-09T18:28:55Z | |
dc.date.issued | 2024-09 | |
dc.date.submitted | 2024-10-07T14:34:24.190Z | |
dc.identifier.uri | https://hdl.handle.net/1721.1/157216 | |
dc.description.abstract | Expressive violin performance demands the coordination of multiple physical and physiological processes. Students, especially those engaged in infrequent private lessons, often struggle to manage these demands. Outside of lessons, they lack access to the resources and external feedback that technology has made readily available in other learning settings. In this study, we propose the Expressive Violin Performance Sensing (EVPS) system as a solution to this issue. The EVPS system uses low-cost and accessible electronic sensors to provide objective, quantitative insights into the physical and physiological aspects of a violinist’s performance. Results from experimental trials reveal that the EVPS system provides relatively reliable data on expressive violin performance. While the general measures of physicality did not reveal significant differences between players of distinct skill levels, physiological and specific physical measurements aligned well with predictions. The successful utilization of low-cost sensors in the EVPS system highlights their potential for use in future performance analysis studies, challenging the precedent of relying on expensive, medical-grade systems. | |
dc.publisher | Massachusetts Institute of Technology | |
dc.rights | In Copyright - Educational Use Permitted | |
dc.rights | Copyright retained by author(s) | |
dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
dc.title | Biometric and Biomechanical Sensing for Violin Performance Analysis | |
dc.type | Thesis | |
dc.description.degree | M.Eng. | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
mit.thesis.degree | Master | |
thesis.degree.name | Master of Engineering in Electrical Engineering and Computer Science | |