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A Human Activity Recognition System Based on Dynamic Clustering of Skeleton Data
Human activity recognition is an important area in computer vision, with its wide range of applications including ambient assisted living. In this paper, an activity recognition system based on skeleton data extracted from a depth camera is presented. The system makes use of machine learning techniq...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5470490/ https://ncbi.nlm.nih.gov/pubmed/28492486 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17051100 |
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