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Efficient human activity recognition with spatio-temporal spiking neural networks
In this study, we explore Human Activity Recognition (HAR), a task that aims to predict individuals' daily activities utilizing time series data obtained from wearable sensors for health-related applications. Although recent research has predominantly employed end-to-end Artificial Neural Netwo...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536255/ https://www.ncbi.nlm.nih.gov/pubmed/37781248 http://dx.doi.org/10.3389/fnins.2023.1233037 |