Gyroscope-Based Conducting Gesture Recognition

Andreas Höofer, Aristotelis Hadjakos, and Max Mühlhäuser

Proceedings of the International Conference on New Interfaces for Musical Expression

Abstract:

This paper describes a method for classification of different beat gestures within traditional beat patterns based on gyroscope data and machine learning techniques and provides a quantitative evaluation.

Citation:

Andreas Höofer, Aristotelis Hadjakos, and Max Mühlhäuser. 2009. Gyroscope-Based Conducting Gesture Recognition. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.1177565

BibTeX Entry:

  @inproceedings{Hoofer2009,
 abstract = {This paper describes a method for classification of different beat gestures within traditional beat patterns based on gyroscope data and machine learning techniques and provides a quantitative evaluation.},
 address = {Pittsburgh, PA, United States},
 author = {H\''{o}ofer, Andreas and Hadjakos, Aristotelis and M\''{u}hlh\''{a}user, Max},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1177565},
 issn = {2220-4806},
 keywords = {nime09},
 pages = {175--176},
 title = {Gyroscope-Based Conducting Gesture Recognition},
 url = {http://www.nime.org/proceedings/2009/nime2009_175.pdf},
 year = {2009}
}