Application of Deep Convolutional Neural Networks and Smartphone Sensors for Indoor Localization

Indoor localization systems are susceptible to higher errors and do not meet the current standards of indoor localization. Moreover, the performance of such approaches is limited by device dependence. The use of Wi-Fi makes the localization process vulnerable to dynamic factors and energy hungry. A...

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Bibliographic Details
Main Authors: Imran Ashraf, Soojung Hur, Yongwan Park
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/11/2337