Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural Networks

Electromyogram (EMG) signals have been increasingly used for hand and finger gesture recognition. However, most studies have focused on the wrist and whole-hand gestures and not on individual finger (IF) gestures, which are considered more challenging. In this study, we develop EMG-based hand/finger...

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Detalles Bibliográficos
Autores principales: Lee, Kyung Hyun, Min, Ji Young, Byun, Sangwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749583/
https://www.ncbi.nlm.nih.gov/pubmed/35009768
http://dx.doi.org/10.3390/s22010225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749583/
https://www.ncbi.nlm.nih.gov/pubmed/35009768
http://dx.doi.org/10.3390/s22010225

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