Deep learning and session-specific rapid recalibration for dynamic hand gesture recognition from EMG

We anticipate wide adoption of wrist and forearm electomyographic (EMG) interface devices worn daily by the same user. This presents unique challenges that are not yet well addressed in the EMG literature, such as adapting for session-specific differences while learning a longer-term model of the sp...

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Detalles Bibliográficos
Autores principales: Karrenbach, Maxim, Preechayasomboon, Pornthep, Sauer, Peter, Boe, David, Rombokas, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797837/
https://www.ncbi.nlm.nih.gov/pubmed/36588953
http://dx.doi.org/10.3389/fbioe.2022.1034672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797837/
https://www.ncbi.nlm.nih.gov/pubmed/36588953
http://dx.doi.org/10.3389/fbioe.2022.1034672

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