Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity Recognition

Human activity recognition (HAR) has become an increasingly popular application of machine learning across a range of domains. Typically the HAR task that a machine learning algorithm is trained for requires separating multiple activities such as walking, running, sitting, and falling from each othe...

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Detalles Bibliográficos
Autores principales: Scheurer, Sebastian, Tedesco, Salvatore, Brown, Kenneth N., O’Flynn, Brendan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070332/
https://www.ncbi.nlm.nih.gov/pubmed/32098362
http://dx.doi.org/10.3390/s20041208

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070332/
https://www.ncbi.nlm.nih.gov/pubmed/32098362
http://dx.doi.org/10.3390/s20041208

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