sEMG Signal-Based Human Lower-Limb Intention Recognition Algorithm Using Improved Extreme Learning Machine

To address the difficulty in identifying human lower-limb movement intentions, low accuracy of classification models, and weak generalization ability, this study proposes a motion intention recognition method that combines an improved pelican optimization algorithm (IPOA) and a hybrid kernel extreme...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of advanced computational intelligence and intelligent informatics Jg. 29; H. 1; S. 53 - 63
Hauptverfasser:	Wu, Shengbiao, Cheng, Xianpeng, Li, Huaning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Tokyo Fuji Technology Press Co. Ltd 01.01.2025
Schlagworte:	Accuracy Algorithms Classification Electromyography Evolutionary algorithms Evolutionary computation Human motion Machine learning Optimization Parameters
ISSN:	1343-0130, 1883-8014
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!