Faster Deep Inertial Pose Estimation with Six Inertial Sensors

We propose a novel pose estimation method that can predict the full-body pose from six inertial sensors worn by the user. This method solves problems encountered in vision, such as occlusion or expensive deployment. We address several complex challenges. First, we use the SRU network structure inste...

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Detalles Bibliográficos
Autores principales: Xia, Di, Zhu, Yeqing, Zhang, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573697/
https://www.ncbi.nlm.nih.gov/pubmed/36236243
http://dx.doi.org/10.3390/s22197144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573697/
https://www.ncbi.nlm.nih.gov/pubmed/36236243
http://dx.doi.org/10.3390/s22197144

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