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Effect of Gait Speed on Trajectory Prediction Using Deep Learning Models for Exoskeleton Applications
Gait speed is an important biomechanical determinant of gait patterns, with joint kinematics being influenced by it. This study aims to explore the effectiveness of fully connected neural networks (FCNNs), with a potential application for exoskeleton control, in predicting gait trajectories at varyi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301853/ https://www.ncbi.nlm.nih.gov/pubmed/37420852 http://dx.doi.org/10.3390/s23125687 |