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...

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Detalles Bibliográficos
Autores principales: Li, Yuhang, Yin, Ruokai, Kim, Youngeun, Panda, Priyadarshini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
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

Internet

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

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