Prediction of Limb Joint Angles Based on Multi-Source Signals by GS-GRNN for Exoskeleton Wearer

To enable exoskeleton wearers to walk on level ground, estimation of lower limb movement is particularly indispensable. In fact, it allows the exoskeleton to follow the human movement in real time. In this paper, the general regression neural network optimized by golden section algorithm (GS-GRNN) i...

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Detalles Bibliográficos
Autores principales: Xie, Hualong, Li, Guanchao, Zhao, Xiaofei, Li, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070277/
https://www.ncbi.nlm.nih.gov/pubmed/32085505
http://dx.doi.org/10.3390/s20041104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070277/
https://www.ncbi.nlm.nih.gov/pubmed/32085505
http://dx.doi.org/10.3390/s20041104

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