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MagneFi: Multiuser, Multi-Building and Multi-Floor Geomagnetic field Dataset for Indoor positioning

Computers, Materials & Continua 2022年第10期73卷 1747-1768页

作者： Imran Ashraf Muhammad Usman Ali Soojung Hur Gunzung Kim Yongwan Park Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea Department of Computer Science University of GujratGujrat50700Pakistan

Indoor positioning and localization have emerged as a potential research area during the last few years owing to the wide proliferation of smartphones and the inception of location-attached services for the consumer *** to the importance of precise location information,several positioning technologies are adopted such as Wi-Fi,ultrawideband,infrared,radio frequency identification,Bluetooth beacons,pedestrian dead reckoning,and magnetic field,*** Wi-Fi and magnetic field-based positioning are more attractive concerning the deployment of Wi-Fi access points and ubiquity of magnetic field data,the latter is preferred as it does not require any additional infrastructure as other approaches *** the advantages of magnetic field positioning,comparing the performance of positioning and localization algorithms is very difficult due to the lack of good public datasets that cover various aspects of the magnetic field *** datasets do not provide the data to analyze the impact of device heterogeneity,user heights,and time-specific magnetic field ***,multi-floor and multibuilding data are available for the evaluation of state-of-the-art *** overcome the above-mentioned issues,this study presents multi-user,multidevice,multi-building magnetic field data which is collected over a longer *** dataset contains the data from five different smartphones including Samsung Galaxy S8,S9,A8,LG G6,and LG G7 for three geographically separated *** users including one female and two males collected the data for various path geometry and data collection ***,the data contains the magnetic field samples collected on stairs to test multifloor *** the magnetic field data,the data from inertial measurement unit sensors like the accelerometer,motion sensors,and barometer is provided as well.

关键词： magnetic field dataset magnetic-field based positioning smartphone sensors benchmark analysis indoor positioning and localization

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