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Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device

We present here a method for recognising dance moves in sequences using 3D accelerometer and gyroscope signals, acquired by a single wearable device, attached to the dancer’s leg. The recognition entails dance tempo estimation, temporal scaling, a wearable device orientation-invariant coordinate sys...

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Detalles Bibliográficos
Autores principales: Stančin, Sara, Tomažič, Sašo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003112/
https://www.ncbi.nlm.nih.gov/pubmed/35408060
http://dx.doi.org/10.3390/s22072446
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author Stančin, Sara
Tomažič, Sašo
author_facet Stančin, Sara
Tomažič, Sašo
author_sort Stančin, Sara
collection PubMed
description We present here a method for recognising dance moves in sequences using 3D accelerometer and gyroscope signals, acquired by a single wearable device, attached to the dancer’s leg. The recognition entails dance tempo estimation, temporal scaling, a wearable device orientation-invariant coordinate system transformation, and, finally, sliding correlation-based template matching. The recognition is independent of the orientation of the wearable device and the tempo of dancing, which promotes the usability of the method in a wide range of everyday application scenarios. For experimental validation, we considered the versatile repertoire of solo jazz dance moves. We created a database of 15 authentic solo jazz template moves using the performances of a professional dancer dancing at 120 bpm. We analysed 36 new dance sequences, performed by the professional and five recreational dancers, following six dance tempos, ranging from 120 bpm to 220 bpm with 20 bpm increment steps. The recognition F1 scores, obtained cumulatively for all moves for different tempos, ranged from 0.87 to 0.98. The results indicate that the presented method can be used to recognise repeated dance moves and to assess the dancer’s consistency in performance. In addition, the results confirm the potential of using the presented method to recognise imitated dance moves, supporting the learning process.
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spelling pubmed-90031122022-04-13 Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device Stančin, Sara Tomažič, Sašo Sensors (Basel) Article We present here a method for recognising dance moves in sequences using 3D accelerometer and gyroscope signals, acquired by a single wearable device, attached to the dancer’s leg. The recognition entails dance tempo estimation, temporal scaling, a wearable device orientation-invariant coordinate system transformation, and, finally, sliding correlation-based template matching. The recognition is independent of the orientation of the wearable device and the tempo of dancing, which promotes the usability of the method in a wide range of everyday application scenarios. For experimental validation, we considered the versatile repertoire of solo jazz dance moves. We created a database of 15 authentic solo jazz template moves using the performances of a professional dancer dancing at 120 bpm. We analysed 36 new dance sequences, performed by the professional and five recreational dancers, following six dance tempos, ranging from 120 bpm to 220 bpm with 20 bpm increment steps. The recognition F1 scores, obtained cumulatively for all moves for different tempos, ranged from 0.87 to 0.98. The results indicate that the presented method can be used to recognise repeated dance moves and to assess the dancer’s consistency in performance. In addition, the results confirm the potential of using the presented method to recognise imitated dance moves, supporting the learning process. MDPI 2022-03-22 /pmc/articles/PMC9003112/ /pubmed/35408060 http://dx.doi.org/10.3390/s22072446 Text en © 2022 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
Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device
title Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device
title_full Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device
title_fullStr Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device
title_full_unstemmed Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device
title_short Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device
title_sort recognizing solo jazz dance moves using a single leg-attached inertial wearable device
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003112/
https://www.ncbi.nlm.nih.gov/pubmed/35408060
http://dx.doi.org/10.3390/s22072446
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