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Potential Use of Inertial Measurement Sensors for Piano Teaching Systems: Motion Analysis of Piano Playing Patterns.

Hadjakos, Aristotelis and Aitenbichler, Erwin and Mühlhäuser, Max Ng, Kia (ed.) (2008):
Potential Use of Inertial Measurement Sensors for Piano Teaching Systems: Motion Analysis of Piano Playing Patterns.
In: Proceedings of the 4th i-Maestro Workshop on Technology- Enhanced Music Education, pp. 61-68, ISBN 978-0-85316-269-8,
[Conference or Workshop Item]

Abstract

Recent piano teaching systems mainly rely on MIDI data. However, MIDI data contains only little information about the student‘s movement. Therefore, additional data channels can potentially be valuable for future piano teaching systems. In this paper we have examined the question, if inertial measurement sensors attached to the piano student‘s arm can provide information that could be relevant for a piano teaching system. Therefore, we have attached a prototypical sensor that provides accelerometer and gyroscope data to the arm of a pianist. The pianist performed different piano playing patterns such as rotation of the forearm, tremoli, trills, scales, jumps, vertical forearm motion, repetition, octave repetition and connection of loud and soft notes. We show that these playing patterns can be distinguished based on the data from our sensor. Using this technique, a piano teaching system could also be able to assess the piano student‘s arm motions.

Item Type: Conference or Workshop Item
Erschienen: 2008
Editors: Ng, Kia
Creators: Hadjakos, Aristotelis and Aitenbichler, Erwin and Mühlhäuser, Max
Title: Potential Use of Inertial Measurement Sensors for Piano Teaching Systems: Motion Analysis of Piano Playing Patterns.
Language: German
Abstract:

Recent piano teaching systems mainly rely on MIDI data. However, MIDI data contains only little information about the student‘s movement. Therefore, additional data channels can potentially be valuable for future piano teaching systems. In this paper we have examined the question, if inertial measurement sensors attached to the piano student‘s arm can provide information that could be relevant for a piano teaching system. Therefore, we have attached a prototypical sensor that provides accelerometer and gyroscope data to the arm of a pianist. The pianist performed different piano playing patterns such as rotation of the forearm, tremoli, trills, scales, jumps, vertical forearm motion, repetition, octave repetition and connection of loud and soft notes. We show that these playing patterns can be distinguished based on the data from our sensor. Using this technique, a piano teaching system could also be able to assess the piano student‘s arm motions.

Title of Book: Proceedings of the 4th i-Maestro Workshop on Technology- Enhanced Music Education
ISBN: 978-0-85316-269-8
Divisions: 20 Department of Computer Science > Telecooperation
20 Department of Computer Science
Date Deposited: 31 Dec 2016 12:59
Identification Number: TUD-CS-2008-1178
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