Embedded Machine Learning Using a Multi-Thread Algorithm on a Raspberry Pi Platform to Improve Prosthetic Hand Performance

High accuracy and a real-time system are priorities in the development of a prosthetic hand. This study aimed to develop and evaluate a real-time embedded time-domain feature extraction and machine learning on a system on chip (SoC) Raspberry platform using a multi-thread algorithm to operate a pros...

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Detalles Bibliográficos
Autores principales: Triwiyanto, Triwiyanto, Caesarendra, Wahyu, Purnomo, Mauridhi Hery, Sułowicz, Maciej, Wisana, I Dewa Gede Hari, Titisari, Dyah, Lamidi, Lamidi, Rismayani, Rismayani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878362/
https://www.ncbi.nlm.nih.gov/pubmed/35208315
http://dx.doi.org/10.3390/mi13020191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878362/
https://www.ncbi.nlm.nih.gov/pubmed/35208315
http://dx.doi.org/10.3390/mi13020191

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