Semi-Supervised Adversarial Auto-Encoder to Expedite Human Activity Recognition

The study of human activity recognition concentrates on classifying human activities and the inference of human behavior using modern sensing technology. However, the issue of domain adaptation for inertial sensing-based human activity recognition (HAR) is still burdensome. The existing requirement...

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Detalles Bibliográficos
Autores principales: Thapa, Keshav, Seo, Yousung, Yang, Sung-Hyun, Kim, Kyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863227/
https://www.ncbi.nlm.nih.gov/pubmed/36679478
http://dx.doi.org/10.3390/s23020683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863227/
https://www.ncbi.nlm.nih.gov/pubmed/36679478
http://dx.doi.org/10.3390/s23020683

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