A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis

A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis

The tuning of robotic prosthesis control is essential to provide personalized assistance to individual prosthesis users. Emerging automatic tuning algorithms have shown promise to ease the device personalization procedure. However, very few automatic tuning algorithms consider the user preference as...

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Bibliographic Details
Main Authors: Abbas Alili, Varun Nalam, Minhan Li, Ming Liu, Jing Feng, Jennie Si, He Huang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Robotic knee prosthesis
human-in-the-loop optimization
user preference
reinforcement learning
user-controlled interface
Online Access:https://ieeexplore.ieee.org/document/10015106/

Internet

https://ieeexplore.ieee.org/document/10015106/

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