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