Applying Machine Learning to Finger Movements Using Electromyography and Visualization in Opensim

Electromyographic signals have been used with low-degree-of-freedom prostheses, and recently with multifunctional prostheses. Currently, they are also being used as inputs in the human–computer interface that controls interaction through hand gestures. Although there is a gap between academic public...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sensors (Basel, Switzerland) Jg. 22; H. 10; S. 3737
Hauptverfasser: Amezquita-Garcia, Jose, Bravo-Zanoguera, Miguel, Gonzalez-Navarro, Felix F., Lopez-Avitia, Roberto, Reyna, M. A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland MDPI AG 01.05.2022
MDPI
Schlagworte:
ISSN:1424-8220, 1424-8220
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!