Optimizing the Sensor Placement for Foot Plantar Center of Pressure without Prior Knowledge Using Deep Reinforcement Learning

We study the foot plantar sensor placement by a deep reinforcement learning algorithm without using any prior knowledge of the foot anatomical area. To apply a reinforcement learning algorithm, we propose a sensor placement environment and reward system that aims to optimize fitting the center of pr...

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Detalles Bibliográficos
Autores principales: Lin, Cheng-Wu, Ruan, Shanq-Jang, Hsu, Wei-Chun, Tu, Ya-Wen, Han, Shao-Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583741/
https://www.ncbi.nlm.nih.gov/pubmed/33003510
http://dx.doi.org/10.3390/s20195588

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583741/
https://www.ncbi.nlm.nih.gov/pubmed/33003510
http://dx.doi.org/10.3390/s20195588

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