Toward Robust and Accurate Myoelectric Controller Design Based on Multiobjective Optimization Using Evolutionary Computation

Myoelectric pattern recognition holds significant importance in designing control strategies for a range of applications, including upper limb prostheses and biorobotic hand movement systems. It serves as a crucial aspect in formulating effective control strategies for these applications. This study...

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Vydáno v:	IEEE sensors journal Ročník 24; číslo 5; s. 6418 - 6429
Hlavní autoři:	Shaikh, Ahmed Aqeel, Mukhopadhyay, Anand Kumar, Poddar, Soumyajit, Samui, Suman
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Classification Classifiers Control systems design Controllers Design optimization Electromyogram (EMG) Electromyography Evolutionary algorithms Evolutionary computation evolutionary computation (EC) Genetic algorithms Machine learning machine learning (ML) multiobjective optimization Multiple objective analysis myoelectric control Myoelectricity Optimization Pattern recognition Prostheses Robust control Sensors Sorting algorithms Supervised learning Support vector machines surface electromyography (sEMG) signal classification System effectiveness Training
ISSN:	1530-437X, 1558-1748
On-line přístup:	Získat plný text
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