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Multiclass Real-Time Intent Recognition of a Powered Lower Limb Prosthesis

This paper describes a control architecture and intent recognition approach for the real-time supervisory control of a powered lower limb prosthesis. The approach infers user intent to stand, sit, or walk, by recognizing patterns in prosthesis sensor data in real-time, without the need for instrumen...

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Détails bibliographiques
Auteurs principaux: Varol, Huseyin Atakan, Sup, Frank, Goldfarb, Michael
Format: Artigo
Langue:Inglês
Publié: 2009
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC2829115/
https://ncbi.nlm.nih.gov/pubmed/19846361
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2009.2034734
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