A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors

Machine learning with deep neural networks (DNNs) is widely used for human activity recognition (HAR) to automatically learn features, identify and analyze activities, and to produce a consequential outcome in numerous applications. However, learning robust features requires an enormous number of la...

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Detalles Bibliográficos
Autores principales: Nisar, Muhammad Adeel, Shirahama, Kimiaki, Irshad, Muhammad Tausif, Huang, Xinyu, Grzegorzek, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574864/
https://www.ncbi.nlm.nih.gov/pubmed/37837064
http://dx.doi.org/10.3390/s23198234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574864/
https://www.ncbi.nlm.nih.gov/pubmed/37837064
http://dx.doi.org/10.3390/s23198234

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