Continuous Estimation of Human Upper Limb Joint Angles by Using PSO-LSTM Model

Continuous Estimation of Human Upper Limb Joint Angles by Using PSO-LSTM Model

Aiming at the continuous motion control problem of the upper limb auxiliary exoskeleton. In this paper, we use particle swarm optimization (PSO) to optimize the long short-term memory network (LSTM), and use the optimized network to establish a map between surface electromyography (sEMG) signals and...

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Bibliographic Details
Main Authors: Gang Tang, Jinqin Sheng, Dongmei Wang, Shaoyang Men
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Continuous estimation
long short-term memory network (LSTM)
particle swarm optimization (PSO) algorithm
surface electromyography (sEMG)
Online Access:https://ieeexplore.ieee.org/document/9309297/

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