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Hierarchical Activity Recognition Using Smart Watches and RGB-Depth Cameras

Human activity recognition is important for healthcare and lifestyle evaluation. In this paper, a novel method for activity recognition by jointly considering motion sensor data recorded by wearable smart watches and image data captured by RGB-Depth (RGB-D) cameras is presented. A normalized cross c...

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Detalles Bibliográficos
Autores principales:	Li, Zhen, Wei, Zhiqiang, Huang, Lei, Zhang, Shugang, Nie, Jie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2016
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087501/ https://www.ncbi.nlm.nih.gov/pubmed/27754458 http://dx.doi.org/10.3390/s16101713

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