Improved Position Tracking of a 3-D Gesture-Based Musical Controller Using a Kalman Filter

Manjinder S. Benning, Michael McGuire, and Peter Driessen

Proceedings of the International Conference on New Interfaces for Musical Expression

• Year: 2007
• Location: New York City, NY, United States
• Pages: 334–337
• Keywords: Kalman Filtering, Radiodrum, Gesture Tracking, Interacting Multiple Model INTRODUCTION Intention is a key aspect of traditional music performance. The ability for an artist to reliably reproduce sound, pitch, rhythms, and emotion is paramount to the design of any instrument. With the
• DOI: 10.5281/zenodo.1177043 (Link to paper)
• PDF link

Abstract:

This paper describes the design and experimentation of a Kalman Filter used to improve position tracking of a 3-D gesture-based musical controller known as the Radiodrum. The Singer dynamic model for target tracking is used to describe the evolution of a Radiodrum's stick position in time. The autocorrelation time constant of a gesture's acceleration and the variance of the gesture acceleration are used to tune the model to various performance modes. Multiple Kalman Filters tuned to each gesture type are run in parallel and an Interacting Multiple Model (IMM) is implemented to decide on the best combination of filter outputs to track the current gesture. Our goal is to accurately track Radiodrum gestures through noisy measurement signals.

Citation:

BibTeX Entry:

  @inproceedings{Benning2007,
 abstract = {This paper describes the design and experimentation of a Kalman Filter used to improve position tracking of a 3-D gesture-based musical controller known as the Radiodrum. The Singer dynamic model for target tracking is used to describe the evolution of a Radiodrum's stick position in time. The autocorrelation time constant of a gesture's acceleration and the variance of the gesture acceleration are used to tune the model to various performance modes. Multiple Kalman Filters tuned to each gesture type are run in parallel and an Interacting Multiple Model (IMM) is implemented to decide on the best combination of filter outputs to track the current gesture. Our goal is to accurately track Radiodrum gestures through noisy measurement signals. },
 address = {New York City, NY, United States},
 author = {Benning, Manjinder S. and McGuire, Michael and Driessen, Peter},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1177043},
 issn = {2220-4806},
 keywords = {Kalman Filtering, Radiodrum, Gesture Tracking, Interacting Multiple Model INTRODUCTION Intention is a key aspect of traditional music performance. The ability for an artist to reliably reproduce sound, pitch, rhythms, and emotion is paramount to the design of any instrument. With the },
 pages = {334--337},
 title = {Improved Position Tracking of a {3-D} Gesture-Based Musical Controller Using a {Kalman} Filter},
 url = {http://www.nime.org/proceedings/2007/nime2007_334.pdf},
 year = {2007}
}