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SYSSOMO: A Pedagogical Tool for Analyzing Movement Variants Between Different Pianists

Hadjakos, Aristotelis and Aitenbichler, Erwin and Mühlhäuser, Max
Ruffaldi, Emanuele and Fontana, Marco (eds.) (2008):
SYSSOMO: A Pedagogical Tool for Analyzing Movement Variants Between Different Pianists.
In: Enactive08, 5th International Conference on Enactive Interfaces, Proceedings, Edizioni ETS, ISBN 978-88-467225-22,
[Conference or Workshop Item]

Abstract

The visualization of arm movement can provide valuable additional information for piano teaching. However, movement visualizations are often difficult to understand for musicians. SYSSOMO uses scorefollowing to synchronize two performances of the same piece in order to overlay motion data, MIDI, and video. Using this technique, the user can easily compare the differences between the performances of a teacher and a student. To capture arm movement, sensors have to be unobtrusive for good user acceptance, and lightweight to minimize independent movement of the sensor. We have developed and built sensing hardware, called MotionNet, to capture arm movements. MotionNet is composed of a set of sensor units and a host unit, which communicate via CAN. This architecture helps us to reduce size and weight of the sensor units.

Item Type: Conference or Workshop Item
Erschienen: 2008
Editors: Ruffaldi, Emanuele and Fontana, Marco
Creators: Hadjakos, Aristotelis and Aitenbichler, Erwin and Mühlhäuser, Max
Title: SYSSOMO: A Pedagogical Tool for Analyzing Movement Variants Between Different Pianists
Language: German
Abstract:

The visualization of arm movement can provide valuable additional information for piano teaching. However, movement visualizations are often difficult to understand for musicians. SYSSOMO uses scorefollowing to synchronize two performances of the same piece in order to overlay motion data, MIDI, and video. Using this technique, the user can easily compare the differences between the performances of a teacher and a student. To capture arm movement, sensors have to be unobtrusive for good user acceptance, and lightweight to minimize independent movement of the sensor. We have developed and built sensing hardware, called MotionNet, to capture arm movements. MotionNet is composed of a set of sensor units and a host unit, which communicate via CAN. This architecture helps us to reduce size and weight of the sensor units.

Title of Book: Enactive08, 5th International Conference on Enactive Interfaces, Proceedings
Publisher: Edizioni ETS
ISBN: 978-88-467225-22
Divisions: 20 Department of Computer Science > Telecooperation
20 Department of Computer Science
Date Deposited: 31 Dec 2016 12:59
Identification Number: TUD-CS-2008-1175
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