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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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Détails bibliographiques
Publié dans:Sensors (Basel)
Auteurs principaux: Manzi, Alessandro, Dario, Paolo, Cavallo, Filippo
Format: Artigo
Langue:Inglês
Publié: MDPI 2017
Sujets:
Accès en ligne: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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