Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition

The study of Domain Generalization (DG) has gained considerable momentum in the Machine Learning (ML) field. Human Activity Recognition (HAR) inherently encompasses diverse domains (e.g., users, devices, or datasets), rendering it an ideal testbed for exploring Domain Generalization. Building upon r...

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Detalles Bibliográficos
Autores principales: Bento, Nuno, Rebelo, Joana, Carreiro, André V., Ravache, François, Barandas, Marília
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386236/
https://www.ncbi.nlm.nih.gov/pubmed/37514805
http://dx.doi.org/10.3390/s23146511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386236/
https://www.ncbi.nlm.nih.gov/pubmed/37514805
http://dx.doi.org/10.3390/s23146511

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