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Online Adaptive Prediction of Human Motion Intention Based on sEMG
Accurate and reliable motion intention perception and prediction are keys to the exoskeleton control system. In this paper, a motion intention prediction algorithm based on sEMG signal is proposed to predict joint angle and heel strike time in advance. To ensure the accuracy and reliability of the p...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8074390/ https://ncbi.nlm.nih.gov/pubmed/33924152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21082882 |
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