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...

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Bibliographic Details
Main Authors: Baoding Zhou, Jun Yang, Qingquan Li
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/3/621