Permadi, Rijal Widhi and Prasetiyowati, Maria Irmina and Karyono, Kanisius (2014) Android Based Indoor Navigation Application using Earth‟s Magnetic Field Pattern. Case Study: Universitas Multimedia Nusantara. Proceeding Conference on Applied Electromagnetic Technology (AEMT).
Full text not available from this repository.Abstract
An indoor navigation application can be built by utilizing the pattern of Earth's magnetic field which is unique at each location. In previous research, users have to record magnetic values all the way inside the building site before the application can be used. By utilizing built-in magnetometer sensors, magnetic values on the X and Y axis that captured by the sensor will be stored in a database and used as a reference point. This research uses the fingerprinting method for creating the magnetic database. There are two main phases in the research process, the first phase is to create magnetic field map database and the second is creating Android application for positioning. This research implements two magnetic data comparison functions, which are random function and first position function. The result shows that the maximum error position value is 116.54 meter for random function. While first position function returns a smaller number, which is 18.83 meters. It can be concluded that indoor navigation with magnetic database yield better accuracy compared to indoor navigation using GPS. This approach can become reliable solution if there are no communication channels to convey the message or to triangulate the position in emergency situation.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 003 Systems (Computer Modeling and Simulation) 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 07 Oct 2021 04:11 |
| Last Modified: | 07 Oct 2021 04:11 |
| URI: | https://kc.umn.ac.id/id/eprint/18564 |
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