Using Barometer for Floor Assignation within Statistical Indoor Localization
This paper presents methods for floor assignation within an indoor localization system. We integrate the barometer of the phone as an additional sensor to detect floor changes. In contrast to state-of-the-art methods, our statistical model uses a discrete state variable as floor information, instead...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/1/80 |
| _version_ | 1797406282748002304 |
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| author | Toni Fetzer Frank Ebner Frank Deinzer Marcin Grzegorzek |
| author_facet | Toni Fetzer Frank Ebner Frank Deinzer Marcin Grzegorzek |
| author_sort | Toni Fetzer |
| collection | DOAJ |
| description | This paper presents methods for floor assignation within an indoor localization system. We integrate the barometer of the phone as an additional sensor to detect floor changes. In contrast to state-of-the-art methods, our statistical model uses a discrete state variable as floor information, instead of a continuous one. Due to the inconsistency of the barometric sensor data, our approach is based on relative pressure readings. All we need beforehand is the ceiling height including the ceiling’s thickness. Further, we discuss several variations of our method depending on the deployment scenario. Since a barometer alone is not able to detect the position of a pedestrian, we additionally incorporate Wi-Fi, iBeacons, Step and Turn Detection statistically in our experiments. This enables a realistic evaluation of our methods for floor assignation. The experimental results show that the usage of a barometer within 3D indoor localization systems can be highly recommended. In nearly all test cases, our approach improves the positioning accuracy while also keeping the update rates low. |
| first_indexed | 2024-03-09T03:24:08Z |
| format | Article |
| id | doaj.art-19b565b2e03b473fa973357106536348 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T03:24:08Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-19b565b2e03b473fa9733571065363482023-12-03T15:03:48ZengMDPI AGSensors1424-82202022-12-012318010.3390/s23010080Using Barometer for Floor Assignation within Statistical Indoor LocalizationToni Fetzer0Frank Ebner1Frank Deinzer2Marcin Grzegorzek3Faculty of Computer Science and Business Information Systems, University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, GermanyFaculty of Computer Science and Business Information Systems, University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, GermanyFaculty of Computer Science and Business Information Systems, University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, GermanyInstitute of Medical Informatics, University of Lübeck, 23562 Lübeck, GermanyThis paper presents methods for floor assignation within an indoor localization system. We integrate the barometer of the phone as an additional sensor to detect floor changes. In contrast to state-of-the-art methods, our statistical model uses a discrete state variable as floor information, instead of a continuous one. Due to the inconsistency of the barometric sensor data, our approach is based on relative pressure readings. All we need beforehand is the ceiling height including the ceiling’s thickness. Further, we discuss several variations of our method depending on the deployment scenario. Since a barometer alone is not able to detect the position of a pedestrian, we additionally incorporate Wi-Fi, iBeacons, Step and Turn Detection statistically in our experiments. This enables a realistic evaluation of our methods for floor assignation. The experimental results show that the usage of a barometer within 3D indoor localization systems can be highly recommended. In nearly all test cases, our approach improves the positioning accuracy while also keeping the update rates low.https://www.mdpi.com/1424-8220/23/1/80indoor positioningsensor fusionparticle filter |
| spellingShingle | Toni Fetzer Frank Ebner Frank Deinzer Marcin Grzegorzek Using Barometer for Floor Assignation within Statistical Indoor Localization Sensors indoor positioning sensor fusion particle filter |
| title | Using Barometer for Floor Assignation within Statistical Indoor Localization |
| title_full | Using Barometer for Floor Assignation within Statistical Indoor Localization |
| title_fullStr | Using Barometer for Floor Assignation within Statistical Indoor Localization |
| title_full_unstemmed | Using Barometer for Floor Assignation within Statistical Indoor Localization |
| title_short | Using Barometer for Floor Assignation within Statistical Indoor Localization |
| title_sort | using barometer for floor assignation within statistical indoor localization |
| topic | indoor positioning sensor fusion particle filter |
| url | https://www.mdpi.com/1424-8220/23/1/80 |
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