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Gait Phase Recognition Using Deep Convolutional Neural Network with Inertial Measurement Units
Gait phase recognition is of great importance in the development of assistance-as-needed robotic devices, such as exoskeletons. In order for a powered exoskeleton with phase-based control to determine and provide proper assistance to the wearer during gait, the user’s current gait phase must first b...
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| Pubblicato in: | Biosensors (Basel) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7558451/ https://ncbi.nlm.nih.gov/pubmed/32867277 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/bios10090109 |
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