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Grosshauser, Tobias

ETH Zürich
Tobias Grosshauser
Institut f. Elektronik
ETZ H90
Gloriastrasse 35
8092 Zürich

Phone: +41 44 632 85 50
E-Mail: 


Tobias Grosshauser received his music diploma at the University of Music Nuremberg, including courses in electronics and informatics. He received a PhD scholarship at the CITEC (Cognitive Interaction Technology) Excellence Cluster of the Bielefeld University, where he also finished the graduate school for Intelligent Systems. He also held research positions at IRCAM – Institut de Recherche et Coordination Acoustique/Musique, Paris, at IMSS – Intelligent Multimedia Systems and Services, Reading University, London, at 01Plus – Institute for Art, Design and Technology, Nuremberg and several industrial R&D positions in the field of technology and music. Beside his professional work as violinist and teacher in several schools and orchestras (e.g. Bundesjugendorchester, Germany), he has performed internationally with self-developed augmented instruments. He invented several systems that utilize wearable sensing and computing technologies to support teaching and practicing, as well as help prevent musicians’ health problems. He teaches courses at several universities in music, sensing technology and music production.

In April 2011 he joined the Wearable Computing Group at the Electronics Laboratory.

Research Interests

- wearable and pervasive sensing and computing
- musical instruments performance studies
- embedded systems and wireless sensing
- multi-modal real time feedback
- augmented and new musical instruments

Research Projects

Toward a Science of Music Performance: Interdisciplinary Research on Task-Specific Movement and Learning Parameters in Professional Musicians

In this project several wearable and pervasive sensor technologies for motion, gesture and pressure recognition are developed and evaluated. These can be integrated into every-day performing and exercising scenarios to receive reliable data about fatigue or malpositions. The goal is to develop a reliable sensor setup and a learning and practicing model to increase exercising efficiency and decrease physical health problems. The main application field is string instruments and piano, but further musical instruments are possible.

Publications

 

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© 2012 ETH Zurich | Imprint | 16 May 2012
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