The Impact of Load Style Variation on Gait Recognition Based on sEMG Images Using a Convolutional Neural Network
Surface electromyogram (sEMG) signals are widely employed as a neural control source for lower-limb exoskeletons, in which gait recognition based on sEMG is particularly important. Many scholars have taken measures to improve the accuracy of gait recognition, but several real-time limitations affect...
Wedi'i Gadw mewn:
| Prif Awduron: | , , , , |
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| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
MDPI AG
2021-12-01
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| Cyfres: | Sensors |
| Pynciau: | |
| Mynediad Ar-lein: | https://www.mdpi.com/1424-8220/21/24/8365 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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