Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography

Many researchers have used machine learning models to control artificial hands, walking aids, assistance suits, etc., using the biological signal of electromyography (EMG). The use of such devices requires high classification accuracy. One method for improving the classification performance of machi...

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Detalles Bibliográficos
Autores principales: Tanaka, Taichi, Nambu, Isao, Maruyama, Yoshiko, Wada, Yasuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269700/
https://www.ncbi.nlm.nih.gov/pubmed/35808500
http://dx.doi.org/10.3390/s22135005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269700/
https://www.ncbi.nlm.nih.gov/pubmed/35808500
http://dx.doi.org/10.3390/s22135005

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