EMG-driven models of human-machine interaction in individuals wearing the H2 exoskeleton**This work was supported by the ERC Advanced Grant DEMOVE [267888]

Author:

Durandau Guillaume,Sartori Massimo,Bortole Magdo,Moreno Juan C.,Pons José L.,Farina Dario

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Cited by 7 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. Time Frequency Analysis and Deep Feature Extraction for Hand Gesture Classification;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

3. Myoelectric Model Reference Adaptive Control with Adaptive Kalman Filter for a soft elbow exoskeleton;Control Engineering Practice;2024-01

4. A Simple OpenSim-Simulink Interface for Cascaded Zero-Force Control of Human-Robot Interaction in a Hip Exoskeleton Robot;2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM);2022-11-15

5. Towards efficient lower-limb exoskeleton evaluation: defining biomechanical metrics to quantify assisted gait familiarization;2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob);2022-08-21

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