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A Stacked Human Activity Recognition Model Based on Parallel Recurrent Network and Time Series Evidence Theory
As the foundation of Posture Analysis, recognizing human activity accurately in real time assists in using machines to intellectualize living condition and monitor health status. In this paper, we focus on recognition based on raw time series data, which are continuously sampled by wearable sensors,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412540/ https://www.ncbi.nlm.nih.gov/pubmed/32707714 http://dx.doi.org/10.3390/s20144016 |