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Generating synthetic gait patterns based on benchmark datasets for controlling prosthetic legs
BACKGROUND: Prosthetic legs help individuals with an amputation regain locomotion. Recently, deep neural network (DNN)-based control methods, which take advantage of the end-to-end learning capability of the network, have been proposed. One prominent challenge for these learning-based approaches is...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476332/ https://www.ncbi.nlm.nih.gov/pubmed/37667313 http://dx.doi.org/10.1186/s12984-023-01232-6 |