Mobility-Induced Graph Learning for WiFi Positioning

K Han, SM Yu, SL Kim, SW Ko - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
A smartphone-based user mobility tracking could be effective in finding his/her location,
while the unpredictable error therein due to low specification of built-in inertial measurement …

Online Path Description Learning based on IMU Signals from IoT Devices

W Zhuo, S Li, T He, M Liu, SHG Chan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A user's movement path can be precisely and concisely described as a concatenation of
straight lines having the user's turns as their end points. Learning such a path description or …

行人惯性定位新动态: 基于神经网络的方法, 性能与展望

李岩, 施忠臣, 侯燕青, 戚煜华, 谢良, 陈伟, 陈洪波… - 自动化学报, 2024 - aas.net.cn
行人惯性定位通过惯性测量单元(Inertial measurement unit, IMU) 的测量序列来估计行人的
位置, 近年来已成为解决室内或卫星信号遮挡环境下的行人自主定位的重要手段. 然而 …

An Enhanced Deep Neural Network Approach for WiFi Fingerprinting-Based Multi-Floor Indoor Localization

SL Ayinla, A Abd Aziz, M Drieberg… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
WiFi fingerprinting based on the Received Signal Strength Indicator (RSSI) is a widely used
technique for indoor localization. However, achieving the necessary precision for most smart …

Novel Step Detection Algorithm for Smartphone Indoor Localization Based on CEEMDAN-HT

LF Shi, W Zhou, X Yan, Y Shi - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Current smartphone-based step detection algorithms do not comprehensively consider the
randomness of user movements in daily life, such as carrying a smartphone in various …

GIPos: A Geomagnetism/IMU Fusion Positioning Method to Address Geomagnetic Mismatching

A Liu, W Wang, C Yuan - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Geomagnetic positioning (GP) stands as a formidable research frontier within the domain of
indoor positioning. Various GP methods have recently brought remarkable improvements …

Mobility-Induced Graph Learning for WiFi Positioning

K Han, SM Yu, SL Kim, SW Ko - arXiv preprint arXiv:2311.08271, 2023 - arxiv.org
A smartphone-based user mobility tracking could be effective in finding his/her location,
while the unpredictable error therein due to low specification of built-in inertial measurement …

Data Collection and Alignment Algorithms for Data-driven Inertial Navigation

Z Zhou, Q Zhang, S Zhang, Z Cai, G Lin… - 2024 14th …, 2024 - ieeexplore.ieee.org
In addressing the dataset requirements for indoor inertial navigation technology based on
deep learning, this paper proposes a comprehensive dataset construction and data …