Continuous prediction of knee joint angle in lower limbs based on sEMG: a method combining an improved ZOA optimizer and attention-enhanced GRU

Exoskeleton robots have been increasingly applied in mountaineering, rescue, and military scenarios to alleviate physical burden and enhance mobility. This study proposes a novel approach for continuous knee joint angle prediction based on surface electromyography (sEMG), integrating an Improved Zeb...

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Vydáno v:	Journal of King Saud University. Computer and information sciences Ročník 37; číslo 6; s. 149 - 26
Hlavní autoři:	Lv, Jian, Huang, Binhao, Qiang, Ligang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.08.2025 Springer Nature B.V Springer
Témata:	Accuracy Attention Collaboration Computer Imaging Computer Science Database Management Datasets Efficiency Electromyography Energy consumption Enhanced GRU Exoskeleton robot Exoskeletons Feature extraction Feature selection Genetic algorithms Knee Knee joint angle prediction Machine Learning Mountaineering Neural networks Optimization Optimization algorithms Original Paper Pattern Recognition and Graphics Pattern recognition systems Real time Robots Root-mean-square errors Signal processing Software Engineering/Programming and Operating Systems Surface Electromyography Swarm intelligence algorithm Systems and Data Security Theory of Computation Vision Surface Electromyography Swarm intelligence algorithm Knee joint angle prediction Enhanced GRU Exoskeleton robot
ISSN:	1319-1578, 2213-1248, 1319-1578
On-line přístup:	Získat plný text
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