Human Activity Recognition Using Attention-Mechanism-Based Deep Learning Feature Combination

Human activity recognition (HAR) performs a vital function in various fields, including healthcare, rehabilitation, elder care, and monitoring. Researchers are using mobile sensor data (i.e., accelerometer, gyroscope) by adapting various machine learning (ML) or deep learning (DL) networks. The adve...

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Detalles Bibliográficos
Autores principales: Akter, Morsheda, Ansary, Shafew, Khan, Md. Al-Masrur, Kim, Dongwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301803/
https://www.ncbi.nlm.nih.gov/pubmed/37420881
http://dx.doi.org/10.3390/s23125715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301803/
https://www.ncbi.nlm.nih.gov/pubmed/37420881
http://dx.doi.org/10.3390/s23125715

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