sEMG-Based Hand Posture Recognition Considering Electrode Shift, Feature Vectors, and Posture Groups

Surface electromyography (sEMG)-based gesture recognition systems provide the intuitive and accurate recognition of various gestures in human-computer interaction. In this study, an sEMG-based hand posture recognition algorithm was developed, considering three main problems: electrode shift, feature...

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Detalles Bibliográficos
Autores principales: Kim, Jongman, Koo, Bummo, Nam, Yejin, Kim, Youngho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624257/
https://www.ncbi.nlm.nih.gov/pubmed/34833756
http://dx.doi.org/10.3390/s21227681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624257/
https://www.ncbi.nlm.nih.gov/pubmed/34833756
http://dx.doi.org/10.3390/s21227681

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