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Journal of Sensors
Volume 2017, Article ID 7360953, 18 pages
https://doi.org/10.1155/2017/7360953
Research Article

Generating Human-Like Velocity-Adapted Jumping Gait from sEMG Signals for Bionic Leg’s Control

1School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
2Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710072, China
3National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China
4Images, Signals and Intelligence Systems Laboratory (LISSI/EA 3956), Senart-Fontainebleau Institute of Technology, UPEC, Bât. A, 77127 Lieusaint, France

Correspondence should be addressed to Weiwei Yu; nc.ude.upwn@iewiewuy

Received 11 March 2017; Revised 5 June 2017; Accepted 4 July 2017; Published 29 August 2017

Academic Editor: Xiaokun Zhang

Copyright © 2017 Weiwei Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Weiwei Yu, Weihua Ma, Yangyang Feng, Runxiao Wang, Kurosh Madani, and Christophe Sabourin, “Generating Human-Like Velocity-Adapted Jumping Gait from sEMG Signals for Bionic Leg’s Control,” Journal of Sensors, vol. 2017, Article ID 7360953, 18 pages, 2017. https://doi.org/10.1155/2017/7360953.