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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,...

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Detalles Bibliográficos
Autores principales:	Zhang, Peng, Zhang, Zhenjiang, Chao, Han-Chieh
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
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

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