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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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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5087501/ https://ncbi.nlm.nih.gov/pubmed/27754458 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16101713 |
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