On the Beat: Analysing and Evaluating Synchronicity in Dance Performances

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dc.contributor.authorMenzel, Malteen_US
dc.contributor.authorTauscher, Jan-Philippen_US
dc.contributor.authorMagnor, Marcusen_US
dc.contributor.editorGuthe, Michaelen_US
dc.contributor.editorGrosch, Thorstenen_US
dc.date.accessioned2023-09-25T11:37:57Z
dc.date.available2023-09-25T11:37:57Z
dc.date.issued2023
dc.description.abstractThis paper presents a method to analyse and evaluate synchronicity in dance performances automatically. Synchronisation of a dancer's movement and the accompanying music is a vital characteristic of dance performances. We propose a method that fuses computer vision-based extraction of dancers' body pose information and audio beat tracking to examine the alignment of the dance motions with the background music. Specifically, the motion of the dancer is analysed for rhythmic dance movements that are then subsequently correlated to the musical beats of the soundtrack played during the performance. Using a single mobile phone video recording of a dance performance only, our system is easily usable in dance rehearsal contexts. Our method evaluates accuracy for every motion beat of the performance on a timeline giving users detailed insight into their performance. We evaluated the accuracy of our method using a dataset containing 17 video recordings of real world dance performances. Our results closely match assessments by professional dancers, indicating correct analysis by our method.en_US
dc.description.sectionheadersImage Visualization and Analysis
dc.description.seriesinformationVision, Modeling, and Visualization
dc.identifier.doi10.2312/vmv.20231230
dc.identifier.isbn978-3-03868-232-5
dc.identifier.pages89-96
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/vmv.20231230
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20231230
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing Information visualization; Applied computing Performing arts
dc.subjectHuman
dc.subjectcentered computing Information visualization
dc.subjectApplied computing Performing arts
dc.titleOn the Beat: Analysing and Evaluating Synchronicity in Dance Performancesen_US
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