MagWi: Benchmark dataset for long term magnetic field and Wi-Fi data involving heterogeneous smartphones, multiple orientations, spatial diversity and multi-floor buildings

Citation Author(s):
Imran
Ashraf
Information and Communication Engineering, Yeungnam University
Sadia
Din
Information and Communication Engineering, Yeungnam University
Muhammad Usman
Ali
Department of Computer Science, University of Gujrat
Soojung
Hur
Information and Communication Engineering, Yeungnam University
Yousaf Bin
Zikria
Information and Communication Engineering, Yeungnam University
Yongwan
Park
Information and Communication Engineering, Yeungnam University
Submitted by:
Imran Ashraf
Last updated:
Sun, 05/23/2021 - 02:19
DOI:
10.21227/7g9v-6z48
Data Format:
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Abstract 

This study presents a dataset that comprises the magnetic field, Wi-Fi, and the data from the inertial measurement unit (IMU) sensors of the smartphone including accelerometer, gyroscope, and barometer. First, the important

characteristics of both the Wi-Fi and the magnetic field that require further investigation are highlighted, and later the data are collected. The data are collected over a longer period spanning approximately five years involving five

different smartphones used by four different users, both female, and males. Different path geometries are followed in different multi-floor buildings which are physically separated, comprising both small and large areas. Besides,

three different orientations of the smartphone are considered for data collection covering corridors, halls, and laboratories. The data from the stairs help to test ’stairs up’ and ’stairs down’ events and approaches aiming at multi-floor

positioning can be tested with the provided dataset.

Instructions: 

For instructions, kindly check the following paper which is published in IEEE Access:

"MagWi: Benchmark Dataset for Long Term Magnetic Field And Wi-Fi Data Involving Heterogeneous Smartphones, Multiple Orientations, Spatial Diversity and Multi-floor Buildings".

For further queries, contact at ashrafimran@live.com