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MusicJacket - Combining motion capture and vibrotactile feedback to teach violin bowing
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Music Acoustics.
2011 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, Vol. 60, no 1, 104-113 p.Article in journal (Refereed) Published
Abstract [en]

We describe MusicJacket, which is a wearable system to support the teaching of good posture and bowing technique to novice violin players. The system uses an inertial motion capture system to track the following in real time: 1) whether the player is holding the violin correctly and 2) the player's bowing action and whether it deviates from a target trajectory. We provide the musicians with vibrotactile feedback about their bowing and posture using vibration motors that are positioned on their arms and torso. We describe a user study with novice violin players that compared a group who was trained using vibrotactile feedback with a control group who only received conventional teaching. We found that vibrotactile feedback is effective at improving novices' straight bowing technique and that half of these subjects continued to show improved bowing technique even when they no longer received vibrotactile feedback. None of the control subjects who received the same number of training sessions using conventional teaching techniques showed a comparable improvement.

Place, publisher, year, edition, pages
2011. Vol. 60, no 1, 104-113 p.
Keyword [en]
Education, measurement, motion analysis, motion capture technology, motor skills training, music, real-time feedback, user study, violin bowing
National Category
Computer Science Language Technology (Computational Linguistics)
URN: urn:nbn:se:kth:diva-52150DOI: 10.1109/TIM.2010.2065770ISI: 000285052800011ScopusID: 2-s2.0-78650063473OAI: diva2:465445
tmh_import_11_12_14. QC 20111221Available from: 2011-12-14 Created: 2011-12-14 Last updated: 2011-12-21Bibliographically approved

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Schoonderwaldt, Erwin
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