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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Detalles Bibliográficos
Autores principales: Chambers, Claire, Kong, Gaiqing, Wei, Kunlin, Kording, Konrad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553729/
https://www.ncbi.nlm.nih.gov/pubmed/31170214
http://dx.doi.org/10.1371/journal.pone.0217861

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553729/
https://www.ncbi.nlm.nih.gov/pubmed/31170214
http://dx.doi.org/10.1371/journal.pone.0217861

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