Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveillance in intelligent home settings. Inertial sensors, e.g., acc...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252338/
https://www.ncbi.nlm.nih.gov/pubmed/35795873
http://dx.doi.org/10.1109/JTEHM.2022.3177710

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252338/
https://www.ncbi.nlm.nih.gov/pubmed/35795873
http://dx.doi.org/10.1109/JTEHM.2022.3177710

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