Feasibility Evaluation of Online Classification-based Control for Gross Movement in a 2-DoF Prosthetic Arm
Author:
Affiliation:
1. The University of Melbourne,Department of Mechanical Engineering,Parkville,VIC,Australia,3010
2. The University of Melbourne,St. Vincent’s Hospital Melbourne,Department of Surgery,Fitzroy,VIC,Australia,3065
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340270.pdf?arnumber=10340270
Reference17 articles.
1. A novel framework for designing a multi-DoF prosthetic wrist control using machine learning
2. Evaluation of a Noninvasive Command Scheme for Upper-Limb Prostheses in a Virtual Reality Reach and Grasp Task
3. Separability of Input Features and the Resulting Accuracy in Classifying Target Poses for Active Transhumeral Prosthetic Interfaces
4. Multi-Grip Classification-Based Prosthesis Control With Two EMG-IMU Sensors
5. Multiple Binary Classifications via Linear Discriminant Analysis for Improved Controllability of a Powered Prosthesis
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Discrete-Target Prosthesis Control Using Uncertainty-Aware Classification for Smooth and Efficient Gross Arm Movement;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024
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