A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance

ForceMyography (FMG) is an emerging competitor to surface ElectroMyography (sEMG) for hand gesture recognition. Most of the state-of-the-art research in this area explores different machine learning algorithms or feature engineering to improve hand gesture recognition performance. This paper propose...

Descripción completa

Detalles Bibliográficos
Autores principales: Asfour, Mohammed, Menon, Carlo, Jiang, Xianta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926772/
https://www.ncbi.nlm.nih.gov/pubmed/33671525
http://dx.doi.org/10.3390/s21041504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926772/
https://www.ncbi.nlm.nih.gov/pubmed/33671525
http://dx.doi.org/10.3390/s21041504

Ejemplares similares