A Semi-Supervised Transfer Learning with Dynamic Associate Domain Adaptation for Human Activity Recognition Using WiFi Signals †

Human activity recognition without equipment plays a vital role in smart home applications, freeing humans from the shackles of wearable devices. In this paper, by using the channel state information (CSI) of the WiFi signal, semi-supervised transfer learning with dynamic associate domain adaptation...

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Detalles Bibliográficos
Autores principales: Chen, Yuh-Shyan, Chang, Yu-Chi, Li, Chun-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705376/
https://www.ncbi.nlm.nih.gov/pubmed/34960569
http://dx.doi.org/10.3390/s21248475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705376/
https://www.ncbi.nlm.nih.gov/pubmed/34960569
http://dx.doi.org/10.3390/s21248475

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