Time Coherent Full-Body Poses Estimated Using Only Five Inertial Sensors: Deep versus Shallow Learning

Full-body motion capture typically requires sensors/markers to be placed on each rigid body segment, which results in long setup times and is obtrusive. The number of sensors/markers can be reduced using deep learning or offline methods. However, this requires large training datasets and/or sufficie...

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Detalles Bibliográficos
Autores principales: Wouda, Frank J., Giuberti, Matteo, Rudigkeit, Nina, van Beijnum, Bert-Jan F., Poel, Mannes, Veltink, Peter H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749312/
https://www.ncbi.nlm.nih.gov/pubmed/31461958
http://dx.doi.org/10.3390/s19173716

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749312/
https://www.ncbi.nlm.nih.gov/pubmed/31461958
http://dx.doi.org/10.3390/s19173716

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