UMONS-TAICHI: A multimodal motion capture dataset of expertise in Taijiquan gestures

In this article, we present a large 3D motion capture dataset of Taijiquan martial art gestures (n = 2200 samples) that includes 13 classes (relative to Taijiquan techniques) executed by 12 participants of various skill levels. Participants levels were ranked by three experts on a scale of [0–10]. T...

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Detalles Bibliográficos
Autores principales: Tits, Mickaël, Laraba, Sohaïb, Caulier, Eric, Tilmanne, Joëlle, Dutoit, Thierry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139536/
https://www.ncbi.nlm.nih.gov/pubmed/30225286
http://dx.doi.org/10.1016/j.dib.2018.05.088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139536/
https://www.ncbi.nlm.nih.gov/pubmed/30225286
http://dx.doi.org/10.1016/j.dib.2018.05.088

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