Real-Time Sensor-Embedded Neural Network for Human Activity Recognition

This article introduces a novel approach to human activity recognition (HAR) by presenting a sensor that utilizes a real-time embedded neural network. The sensor incorporates a low-cost microcontroller and an inertial measurement unit (IMU), which is affixed to the subject’s chest to capture their m...

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Detalles Bibliográficos
Autores principales: Shakerian, Ali, Douet, Victor, Shoaraye Nejati, Amirhossein, Landry, René
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575419/
https://www.ncbi.nlm.nih.gov/pubmed/37836957
http://dx.doi.org/10.3390/s23198127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575419/
https://www.ncbi.nlm.nih.gov/pubmed/37836957
http://dx.doi.org/10.3390/s23198127

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