Kriging for prosthesis control

Author:

Dhir Neil

Publisher

Elsevier

Reference73 articles.

1. B.D. Argall, Machine learning for shared control with assistive machines. in: ICRA Workshop on autonomous learning: from machine learning to learning in real-world autonomous systems. ICRA, 2013.

2. J. Morimoto, T. Noda, and S. Hyon, Extraction of latent kinematic relationships between human users and assistive robots. in: Robotics and Automation (ICRA), IEEE, (2012) 3909–3915.

3. C.A. Cheng, T.H. Huang, H.P. Huang, Bayesian human intention estimator for exoskeleton system, in: Advanced Intelligent Mechatronics (AIM), IEEE/ASME,IEEE, (2013) 465–470.

4. E. Aertbeliën, J. De Schutter, Learning a predictive model of human gait for the control of a lower-limb exoskeleton. in International Conference on Biomedical Robotics and Biomechatronics, 2014.

5. Control strategies for active lower extremity prosthetics and orthotics: A review;Tucker;J. NeuroEng. Rehab.,2015

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