A SE-DenseNet-LSTM model for locomotion mode recognition in lower limb exoskeleton
Locomotion mode recognition in humans is fundamental for flexible control in wearable-powered exoskeleton robots. This article proposes a hybrid model that combines a dense convolutional network (DenseNet) and long short-term memory (LSTM) with a channel attention mechanism (SENet) for locomotion mo...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
PeerJ Inc.
2024-02-01
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| Serie: | PeerJ Computer Science |
| Soggetti: | |
| Accesso online: | https://peerj.com/articles/cs-1881.pdf |
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