Cargando…
Smartphone-Based Activity Recognition for Indoor Localization Using a Convolutional Neural Network †
In the indoor environment, the activity of the pedestrian can reflect some semantic information. These activities can be used as the landmarks for indoor localization. In this paper, we propose a pedestrian activities recognition method based on a convolutional neural network. A new convolutional ne...
Autores principales: | Zhou, Baoding, Yang, Jun, Li, Qingquan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387421/ https://www.ncbi.nlm.nih.gov/pubmed/30717199 http://dx.doi.org/10.3390/s19030621 |
Ejemplares similares
-
A Robust Crowdsourcing-Based Indoor Localization System
por: Zhou, Baoding, et al.
Publicado: (2017) -
Indoor Scene Recognition Mechanism Based on Direction-Driven Convolutional Neural Networks
por: Daou, Andrea, et al.
Publicado: (2023) -
Human Activity Recognition for Indoor Localization Using Smartphone Inertial Sensors
por: Moreira, Dinis, et al.
Publicado: (2021) -
A Fast and Robust Deep Convolutional Neural Networks for Complex Human Activity Recognition Using Smartphone
por: Qi, Wen, et al.
Publicado: (2019) -
Wireless Indoor Localization Using Convolutional Neural Network and Gaussian Process Regression
por: Zhang, Guolong, et al.
Publicado: (2019)