Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors

Out-of-distribution (OOD) in the context of Human Activity Recognition (HAR) refers to data from activity classes that are not represented in the training data of a Machine Learning (ML) algorithm. OOD data are a challenge to classify accurately for most ML algorithms, especially deep learning model...

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Detalles Bibliográficos
Autores principales: Boyer, Philip, Burns, David, Whyne, Cari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957807/
https://www.ncbi.nlm.nih.gov/pubmed/33804317
http://dx.doi.org/10.3390/s21051669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957807/
https://www.ncbi.nlm.nih.gov/pubmed/33804317
http://dx.doi.org/10.3390/s21051669

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