Towards rhythmic analysis of human motion using acceleration-onset times

Authors:
Eric Lee;Urs Enke;Jan Borchers;Leo de Jong
Affiliations:
RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;MultiPRO, WJ Haarlem, The Netherlands
Venue:
NIME '07 Proceedings of the 7th international conference on New interfaces for musical expression
Year:
2007

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Abstract

We present a system for rhythmic analysis of human motion in real-time. Using a combination of both spectral (Fourier) and spatial analysis of onsets, we are able to extract repeating rhythmic patterns from data collected using accelerometers. These extracted rhythmic patterns show the relative magnitudes of accentuated movements and their spacing in time. Inspired by previous work in automatic beat detection of audio recordings, we designed our algorithms to be robust to changes in timing using multiple analysis techniques and methods for sensor fusion, filtering and clustering. We tested our system using a limited set of movements, as well as dance movements collected from a professional, both with promising results.