Hill-Based Model as a Myoprocessor for a Neural Controlled Powered Exoskeleton Arm - Parameters Optimization-Reference-Cited by-同舟云学术

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Hill-Based Model as a Myoprocessor for a Neural Controlled Powered Exoskeleton Arm - Parameters Optimization

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Container-title:Proceedings of the 2005 IEEE International Conference on Robotics and Automation
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Author:

Cavallaro E.,Rosen J.,Perry J.C.,Burns S.,Hannaford B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/10495/33250/01570815.pdf?arnumber=1570815

Cited by 14 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

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2. Continuous Prediction of Human Joint Mechanics Using EMG Signals: A Review of Model-Based and Model-Free Approaches;IEEE Transactions on Medical Robotics and Bionics;2023-08

3. Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection;Autonomous Robots;2020-08-09

4. Plug-and-Play Gesture Control Using Muscle and Motion Sensors;Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction;2020-03-06

5. Robust controls for upper limb exoskeleton, real-time results;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2018-03-28

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