Study on Human Activity Recognition Using Semi-Supervised Active Transfer Learning

In recent years, various studies have begun to use deep learning models to conduct research in the field of human activity recognition (HAR). However, there has been a severe lag in the absolute development of such models since training deep learning models require a lot of labeled data. In fields s...

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Detalles Bibliográficos
Autores principales: Oh, Seungmin, Ashiquzzaman, Akm, Lee, Dongsu, Kim, Yeonggwang, Kim, Jinsul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070833/
https://www.ncbi.nlm.nih.gov/pubmed/33919823
http://dx.doi.org/10.3390/s21082760

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070833/
https://www.ncbi.nlm.nih.gov/pubmed/33919823
http://dx.doi.org/10.3390/s21082760

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