HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms

Human activity recognition (HAR) based on wearable sensors is a promising research direction. The resources of handheld terminals and wearable devices limit the performance of recognition and require lightweight architectures. With the development of deep learning, the neural architecture search (NA...

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Detalles Bibliográficos
Autores principales: Wang, Xiaojuan, Wang, Xinlei, Lv, Tianqi, Jin, Lei, He, Mingshu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540708/
https://www.ncbi.nlm.nih.gov/pubmed/34696140
http://dx.doi.org/10.3390/s21206927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540708/
https://www.ncbi.nlm.nih.gov/pubmed/34696140
http://dx.doi.org/10.3390/s21206927

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