A Novel CNN-based Bi-LSTM parallel model with attention mechanism for human activity recognition with noisy data

Boosted by mobile communication technologies, Human Activity Recognition (HAR) based on smartphones has attracted more and more attentions of researchers. One of the main challenges is the classification time and accuracy in processing long-time dependent sequence samples with noisy or missed data....

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Detalles Bibliográficos
Autores principales: Yin, Xiaochun, Liu, Zengguang, Liu, Deyong, Ren, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097568/
https://www.ncbi.nlm.nih.gov/pubmed/35550570
http://dx.doi.org/10.1038/s41598-022-11880-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097568/
https://www.ncbi.nlm.nih.gov/pubmed/35550570
http://dx.doi.org/10.1038/s41598-022-11880-8

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