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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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| Publié dans: | Data Brief |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6139536/ https://ncbi.nlm.nih.gov/pubmed/30225286 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2018.05.088 |
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