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Dance Tempo Estimation Using a Single Leg-Attached 3D Accelerometer

We present a methodology that enables dance tempo estimation through the acquisition of 3D accelerometer signals using a single wearable inertial device positioned on the dancer’s leg. Our tempo estimation method is based on enhanced multiple resonators, implemented with comb feedback filters. To va...

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Autores principales: Stančin, Sara, Tomažič, Sašo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659433/
https://www.ncbi.nlm.nih.gov/pubmed/34884069
http://dx.doi.org/10.3390/s21238066
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author Stančin, Sara
Tomažič, Sašo
author_facet Stančin, Sara
Tomažič, Sašo
author_sort Stančin, Sara
collection PubMed
description We present a methodology that enables dance tempo estimation through the acquisition of 3D accelerometer signals using a single wearable inertial device positioned on the dancer’s leg. Our tempo estimation method is based on enhanced multiple resonators, implemented with comb feedback filters. To validate the methodology, we focus on the versatile solo jazz dance style. Including a variety of dance moves, with different leg activation patterns and rhythmical variations, solo jazz provides for a highly critical validation environment. We consider 15 different solo jazz dance moves, with different leg activation patterns, assembled in a sequence of 5 repetitions of each, giving 65 moves altogether. A professional and a recreational dancer performed this assembly in a controlled environment, following eight dancing tempos, dictated by a metronome, and ranging from 80 bpm to 220 bpm with 20 bpm increment steps. We show that with appropriate enhancements and using single leg signals, the comb filter bank provides for accurate dance tempo estimates for all moves and rhythmical variations considered. Dance tempo estimates for the overall assembles match strongly the dictated tempo—the difference being at most 1 bpm for all measurement instances is within the limits of the established beat onset stability of the used metronome. Results further show that this accuracy is achievable for shorter dancing excerpts, comprising four dance moves, corresponding to one music phrase, and as such enables real-time feedback. By providing for a dancer’s tempo quality and consistency assessment, the presented methodology has the potential of supporting the learning process, classifying individual level of experience, and assessing overall performance. It is extendable to other dance styles and sport motion in general where cyclical patterns occur.
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spelling pubmed-86594332021-12-10 Dance Tempo Estimation Using a Single Leg-Attached 3D Accelerometer Stančin, Sara Tomažič, Sašo Sensors (Basel) Article We present a methodology that enables dance tempo estimation through the acquisition of 3D accelerometer signals using a single wearable inertial device positioned on the dancer’s leg. Our tempo estimation method is based on enhanced multiple resonators, implemented with comb feedback filters. To validate the methodology, we focus on the versatile solo jazz dance style. Including a variety of dance moves, with different leg activation patterns and rhythmical variations, solo jazz provides for a highly critical validation environment. We consider 15 different solo jazz dance moves, with different leg activation patterns, assembled in a sequence of 5 repetitions of each, giving 65 moves altogether. A professional and a recreational dancer performed this assembly in a controlled environment, following eight dancing tempos, dictated by a metronome, and ranging from 80 bpm to 220 bpm with 20 bpm increment steps. We show that with appropriate enhancements and using single leg signals, the comb filter bank provides for accurate dance tempo estimates for all moves and rhythmical variations considered. Dance tempo estimates for the overall assembles match strongly the dictated tempo—the difference being at most 1 bpm for all measurement instances is within the limits of the established beat onset stability of the used metronome. Results further show that this accuracy is achievable for shorter dancing excerpts, comprising four dance moves, corresponding to one music phrase, and as such enables real-time feedback. By providing for a dancer’s tempo quality and consistency assessment, the presented methodology has the potential of supporting the learning process, classifying individual level of experience, and assessing overall performance. It is extendable to other dance styles and sport motion in general where cyclical patterns occur. MDPI 2021-12-02 /pmc/articles/PMC8659433/ /pubmed/34884069 http://dx.doi.org/10.3390/s21238066 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stančin, Sara
Tomažič, Sašo
Dance Tempo Estimation Using a Single Leg-Attached 3D Accelerometer
title Dance Tempo Estimation Using a Single Leg-Attached 3D Accelerometer
title_full Dance Tempo Estimation Using a Single Leg-Attached 3D Accelerometer
title_fullStr Dance Tempo Estimation Using a Single Leg-Attached 3D Accelerometer
title_full_unstemmed Dance Tempo Estimation Using a Single Leg-Attached 3D Accelerometer
title_short Dance Tempo Estimation Using a Single Leg-Attached 3D Accelerometer
title_sort dance tempo estimation using a single leg-attached 3d accelerometer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659433/
https://www.ncbi.nlm.nih.gov/pubmed/34884069
http://dx.doi.org/10.3390/s21238066
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