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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Detalles Bibliográficos
Autores principales: Manzi, Alessandro, Dario, Paolo, Cavallo, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470490/
https://www.ncbi.nlm.nih.gov/pubmed/28492486
http://dx.doi.org/10.3390/s17051100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470490/
https://www.ncbi.nlm.nih.gov/pubmed/28492486
http://dx.doi.org/10.3390/s17051100

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