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Lisheng Xu

3 accepted papers

2021

A Bi-Directional LSTM Network for Estimating Continuous Upper Limb Movement From Surface Electromyography

RA-L 2021

In human-machine interaction systems, continuous movement estimation methods occupy an important position because they are more natural and intuitive than pattern-recognition methods. Essentially, arm position is decided by the shoulder and elbow joint angles. However, the various deformations of mu

Cited by 74SourceScholar
2021

A Novel and Efficient Feature Extraction Method for Deep Learning Based Continuous Estimation

RA-L 2021

Simultaneous and proportional control (SPC) methods based on surface electromyogram (sEMG) can provide a more intuitive and natural interaction in rehabilitation assistive robots and prostheses. Recently, an increasing number of researchers have utilized deep learning methods to continuously estimat

Cited by 27SourceScholar