Automatic Page-Turner for Pianists With Wearable Motion Detector

Turning book pages is a simple act that readers do while reading. This simple act that we take for granted could be challenging when both hands are engaged in other tasks. In case that a pianist sight-read, using one hand for turning the music sheets can cause distraction or short delay in their performance. Previous studies predominantly utilized audio or video processing techniques for following the musicians' performance. We suggested a framework that uses wearable technologies as an alternative solution for solving page-turning problems. The proposed design recognizes the pianist's wrists oscillatory motion with accelerometer sensors and tries to sync them to digital music notes. This system uses dynamic time warping and cross-correlation methods to find the optimum alignment between actual and captured data and reducing time latency. Eventually, a heuristic decision model assesses the pianist's performance and decides to turn the digital music sheet at predefined points.

Name thesis:degree_name

Master of Applied Science (M.App.Sc.)

Level thesis:degree_level

Master's

Discipline thesis:degree_discipline

Human-Computer Interaction

Grantor dc:publisher

Carleton University

Year dc:date.issued

2021

Author dc:creator

• Mirazimzadeh, Seyed Ali

Statement dc:rights

• Copyright © 2021 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

Language dc:language.iso

en

DOI

10.22215/etd/2021-14386

OAI identifier oai:identifier

oai:carleton.scholaris.ca:20.500.14718/41558