Deep SE-BiLSTM with IFPOA Fine-Tuning for Human Activity Recognition Using Mobile and Wearable Sensors

Pervasive computing, human–computer interaction, human behavior analysis, and human activity recognition (HAR) fields have grown significantly. Deep learning (DL)-based techniques have recently been effectively used to predict various human actions using time series data from wearable sensors and mo...

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Detalles Bibliográficos
Autores principales: Jameer, Shaik, Syed, Hussain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181789/
https://www.ncbi.nlm.nih.gov/pubmed/37177523
http://dx.doi.org/10.3390/s23094319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181789/
https://www.ncbi.nlm.nih.gov/pubmed/37177523
http://dx.doi.org/10.3390/s23094319

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