Artificial neural network-based control of powered knee exoskeletons for lifting tasks: design and experimental validation

This study introduces a hybrid model that utilizes a model-based optimization method to generate training data and an artificial neural network (ANN)-based learning method to offer real-time exoskeleton support in lifting activities. For the model-based optimization method, the torque of the knee ex...

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Vydané v:	Robotica Ročník 42; číslo 9; s. 2949 - 2968
Hlavní autori:	Arefeen, Asif, Xiang, Yujiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cambridge, UK Cambridge University Press 01.09.2024
Predmet:	Age groups Algorithms Artificial neural networks Control methods Cost function Design optimization Exoskeletons General regression neural networks Hoisting Human mechanics Injuries Joints (anatomy) Kinematics Knee Machine learning Metabolism Neural networks Optimal control Optimization Parameters Quadratic programming Real time Regression models Rehabilitation Torque artificial neural network motion planning general regression neural network wearable robots gradient-based optimization lifting
ISSN:	0263-5747, 1469-8668
On-line prístup:	Získať plný text
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