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

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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Bibliographic Details
Main Authors: Cheng-Wu Lin, Shanq-Jang Ruan, Wei-Chun Hsu, Ya-Wen Tu, Shao-Li Han
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
plantar pressure
center of pressure
sensor placement optimization
deep reinforcement learning
soft actor–critic discrete
Online Access:https://www.mdpi.com/1424-8220/20/19/5588

Internet

https://www.mdpi.com/1424-8220/20/19/5588

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