Empirical Study and Improvement on Deep Transfer Learning for Human Activity Recognition

Human activity recognition (HAR) based on sensor data is a significant problem in pervasive computing. In recent years, deep learning has become the dominating approach in this field, due to its high accuracy. However, it is difficult to make accurate identification for the activities of one individ...

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Detalles Bibliográficos
Autores principales: Ding, Renjie, Li, Xue, Nie, Lanshun, Li, Jiazhen, Si, Xiandong, Chu, Dianhui, Liu, Guozhong, Zhan, Dechen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339185/
https://www.ncbi.nlm.nih.gov/pubmed/30586875
http://dx.doi.org/10.3390/s19010057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339185/
https://www.ncbi.nlm.nih.gov/pubmed/30586875
http://dx.doi.org/10.3390/s19010057

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