Toward the Personalization of Biceps Fatigue Detection Model for Gym Activity: An Approach to Utilize Wearables’ Data from the Crowd

Nowadays, wearables-based Human Activity Recognition (HAR) systems represent a modern, robust, and lightweight solution to monitor athlete performance. However, user data variability is a problem that may hinder the performance of HAR systems, especially the cross-subject HAR models. Such a problem...

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Detalles Bibliográficos
Autores principales: Elshafei, Mohamed, Costa, Diego Elias, Shihab, Emad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877759/
https://www.ncbi.nlm.nih.gov/pubmed/35214356
http://dx.doi.org/10.3390/s22041454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877759/
https://www.ncbi.nlm.nih.gov/pubmed/35214356
http://dx.doi.org/10.3390/s22041454

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