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...

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Bibliographic Details

Published in:	Journal of advanced computational intelligence and intelligent informatics Vol. 29; no. 1; pp. 53 - 63
Main Authors:	Wu, Shengbiao, Cheng, Xianpeng, Li, Huaning
Format:	Journal Article
Language:	English
Published:	Tokyo Fuji Technology Press Co. Ltd 01.01.2025
Subjects:	Accuracy Algorithms Classification Electromyography Evolutionary algorithms Evolutionary computation Human motion Machine learning Optimization Parameters
ISSN:	1343-0130, 1883-8014
Online Access:	Get full text
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