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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087501/
https://www.ncbi.nlm.nih.gov/pubmed/27754458
http://dx.doi.org/10.3390/s16101713

Ejemplares similares