Hadjakos, Aristotelis ; Aitenbichler, Erwin ; Mühlhäuser, Max
Hrsg.: Ruffaldi, Emanuele ; Fontana, Marco (2008)
SYSSOMO: A Pedagogical Tool for Analyzing Movement Variants Between Different Pianists.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2008 |
| Herausgeber: | Ruffaldi, Emanuele ; Fontana, Marco |
| Autor(en): | Hadjakos, Aristotelis ; Aitenbichler, Erwin ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | SYSSOMO: A Pedagogical Tool for Analyzing Movement Variants Between Different Pianists |
| Sprache: | Deutsch |
| Publikationsjahr: | 2008 |
| Verlag: | Edizioni ETS |
| Buchtitel: | Enactive08, 5th International Conference on Enactive Interfaces, Proceedings |
| Zugehörige Links: | |
| Kurzbeschreibung (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. |
| ID-Nummer: | TUD-CS-2008-1175 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation |
| Hinterlegungsdatum: | 31 Dez 2016 12:59 |
| Letzte Änderung: | 14 Jun 2021 06:14 |
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