sEMG-Based Hand Posture Recognition and Visual Feedback Training for the Forearm Amputee

sEMG-based gesture recognition is useful for human–computer interactions, especially for technology supporting rehabilitation training and the control of electric prostheses. However, high variability in the sEMG signals of untrained users degrades the performance of gesture recognition algorithms....

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Detalles Bibliográficos
Autores principales: Kim, Jongman, Yang, Sumin, Koo, Bummo, Lee, Seunghee, Park, Sehoon, Kim, Seunggi, Cho, Kang Hee, Kim, Youngho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608765/
https://www.ncbi.nlm.nih.gov/pubmed/36298335
http://dx.doi.org/10.3390/s22207984

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608765/
https://www.ncbi.nlm.nih.gov/pubmed/36298335
http://dx.doi.org/10.3390/s22207984

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