Automatic self-reconstruction model for radio map in Wi-Fi fingerprinting

SH Lee, WY Kim, DH Seo - Expert Systems with Applications, 2022 - Elsevier
Abstract The Wi-Fi fingerprinting is applied to the indoor positioning system (IPS) based on
the radio map, which is the established received signal strength indication (RSSI) fingerprint …

RWKNN: A modified WKNN algorithm specific for the indoor localization problem

G Chen, X Guo, K Liu, X Li, J Yang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
This paper proposes a restricted weighted-nearest neighbor algorithm (RWKNN) specific for
indoor environments. The traditional WKNN method determines the locations by calculating …

JUIndoorLoc: A ubiquitous framework for smartphone-based indoor localization subject to context and device heterogeneity

P Roy, C Chowdhury, D Ghosh… - Wireless Personal …, 2019 - Springer
A new era of ubiquitous indoor location awareness is on the horizon especially for context
sensing, ambient assisted living and many other smart city applications. Although indoor …

Selective unsupervised learning-based Wi-Fi fingerprint system using autoencoder and GAN

JH Seong, DH Seo - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
In this article, we propose an automatic Wi-Fi fingerprint system that combines an
unsupervised dual radio map** (UDRM) algorithm with the aim of reducing the time-cost …

Region clustering based fingerprint model for flexible Wi-Fi fingerprinting

SH Lee, DH Seo - Expert Systems with Applications, 2024 - Elsevier
Wi-Fi fingerprint, a mainstream technology of Indoor Location Base Service (ILBS), estimates
location through a radiomap that places received signal strength (RSS) as AP and location …

A deep learning model implementation based on rssi fingerprinting for lora-based indoor localization

IT Ali, A Muis, RF Sari - EUREKA: Physics and Engineering,(1), 2021 - papers.ssrn.com
LoRa technology has received a lot of attention in the last few years. Numerous success
stories about using LoRa technology for the Internet of Things in various implementations …

Scalable Wi-Fi Fingerprinting Localization by Deep Similarity Network

SH Lee, DH Seo - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Wi-Fi Received Signal Strength (RSS) fingerprinting is a leading method for indoor
positioning due to its widespread infrastructure. Traditional fingerprinting classifies location …

ezNavi: An easy-to-operate indoor navigation system based on pedestrian dead reckoning and crowdsourced user trajectories

MS Pan, KY Li - IEEE Transactions on Mobile Computing, 2019 - ieeexplore.ieee.org
Recently, researchers have paid attention to designing indoor navigation services for
smartphone users. Conventional indoor navigation systems highly rely on well-known …

A study on the impact of layout change to knowledge distilled indoor positioning systems

A Mazlan, YH Ng, CK Tan - Bulletin of Electrical Engineering and …, 2024 - beei.org
Convolutional neural networks (CNN)-based indoor positioning systems (IPS) have gained
significant attention over the past decade due to their ability to provide precise localization …

DO IONet: 9-Axis IMU-Based 6-DOF Odometry Framework Using Neural Network for Direct Orientation Estimation

HI Seo, JW Bae, WY Kim, DH Seo - IEEE Access, 2023 - ieeexplore.ieee.org
With the development of mobile devices, low-cost inertial measurement unit (IMU)-based
research on inertial odometry for indoor localization is being actively conducted. Inertial …