Bionic hand movement recognition using BioMotionNet with U3AR-Net segmentation and hybrid optimization

Background and objective: The accurate and real-time bionic hand movement recognition is central to the advancement of prosthetics and assistive robotics. However, existing methods face issues with noise interference, segmentation errors, feature misclassification, and computational inefficiency. Th...

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Библиографические подробности

Главные авторы:	Ahmed A. Mohamed, Sultan Alasmari, Sunil Kumar Sharma, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2025-12-01
Серии:	Systems and Soft Computing
Предметы:	Bionic hand movement recognition GEBM filter HandASPP-Unet3++ segmentation DeepHOG-LBPNet Hybrid optimization DAHOA
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2772941925002029
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