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Pose estimates from online videos show that side-by-side walkers synchronize movement under naturalistic conditions

Marker-less video-based pose estimation promises to allow us to do movement science on existing video databases. We revisited the old question of how people synchronize their walking using real world data. We thus applied pose estimation to 348 video segments extracted from YouTube videos of people...

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Pubblicato in:PLoS One
Autori principali: Chambers, Claire, Kong, Gaiqing, Wei, Kunlin, Kording, Konrad
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2019
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6553729/
https://ncbi.nlm.nih.gov/pubmed/31170214
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0217861
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