Adaptive Lower-Limb Prosthetic Control: Towards Personalized Intent Recognition & Context Estimation
Author:
Affiliation:
1. College of Computing, Georgia Institute of Technology,Atlanta,GA,USA,30332
2. Woodruff School of Mechanical Engineering, Georgia Institute of Technology,Atlanta,GA,USA,30332
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10130140/10130174/10130251.pdf?arnumber=10130251
Reference31 articles.
1. A CNN-based method for intent recognition using inertial measurement units and intelligent lower limb prosthesis;su;IEEE Transactions on Neural Systems and Rehabilitation Engineering,2019
2. Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation;parajuli;SENSORS,2019
3. Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses
4. XGBoost
5. Graduation Formulae obtained by fitting a Polynomial;whittaker;The Calculus of Observations,1924
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. Accelerating Constrained Continual Learning with Dynamic Active Learning: A Study in Adaptive Speed Estimation for Lower-Limb Prostheses;2024 International Symposium on Medical Robotics (ISMR);2024-06-03
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