User adaptation in Myoelectric Man-Machine Interfaces
Abstract State of the art clinical hand prostheses are controlled in a simple and limited way that allows the activation of one function at a time. More advanced laboratory approaches, based on machine learning, offer a significant increase in functionality, but their clinical impact is limited, mai...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2017
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/3415318875e1482d9f59bb951700536c |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|