sEMG-Based Lower Limb Motion Prediction Using CNN-LSTM with Improved PCA Optimization Algorithm

In recent years, sEMG (surface electromyography) signals have been increasingly used to operate wearable devices. The development of mechanical lower limbs or exoskeletons controlled by the nervous system requires greater accuracy in recognizing lower limb activity. There is less research on devices...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of bionics engineering Ročník 20; číslo 2; s. 612 - 627
Hlavní autoři:	Zhu, Meng, Guan, Xiaorong, Li, Zhong, He, Long, Wang, Zheng, Cai, Keshu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Nature Singapore 01.03.2023 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Artificial neural networks Back propagation networks Biochemical Engineering Bioinformatics Biomaterials Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Decoding Electromyography Engineering Exoskeleton Exoskeletons Gait Kernel functions Knee Machine learning Myoelectric control Myoelectricity Nervous system Neural networks Predictions Real time Research Article Robot control Signal processing Support vector machines Wearable technology CNN LSTM Exoskeleton sEMG Knee trajectory Bionic robot PCA
ISSN:	1672-6529, 2543-2141
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!