Author

Andrea Sabo

University Health NetworkORCID 0000-0002-8921-9089Unclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:imaging· 1

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Filip PotempskiiD· 1 shared Kara K. PattersoniD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Filip PotempskiORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintOct 9, 2020

Technical Note: Quantifying music-dance synchrony with the application of a deep learning-based 2D pose estimator

Filip Potempski, Andrea Sabo, Kara K. Patterson

This paper describes a method using OpenPose and beat analysis to quantify movement-music synchrony during salsa dancing, finding lower synchronization values in synchronous conditions.

1 citation

imagingdeep learning

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