Abstract
Accelerometers and gyroscopes are used in many applications such as navigation, attitude determination, and Internet of Things. This paper aims to demonstrate that low-cost accelerometers and gyroscopes suffer from external interference when operating near home appliances. As a consequence, the performance of their downstream task may degrade. To cope with such situations, interference sources are mapped using a smartphone in stationary conditions. Anomaly detection using the multivariate Gaussian distribution is applied to detect and remove interference in the inertial data. The influence of inertial data with and without interference is analyzed on a typical attitude and heading reference system algorithm.
Original language | English |
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Title of host publication | 2021 IEEE Sensors, SENSORS 2021 - Conference Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728195018 |
DOIs | |
State | Published - 2021 |
Event | 20th IEEE Sensors, SENSORS 2021 - Virtual, Online, Australia Duration: 31 Oct 2021 → 4 Nov 2021 |
Publication series
Name | Proceedings of IEEE Sensors |
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Volume | 2021-October |
ISSN (Print) | 1930-0395 |
ISSN (Electronic) | 2168-9229 |
Conference
Conference | 20th IEEE Sensors, SENSORS 2021 |
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Country/Territory | Australia |
City | Virtual, Online |
Period | 31/10/21 → 4/11/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Accelerometers
- Anomaly Detection
- Gyroscopes
- Internet of Things
- Navigation
ASJC Scopus subject areas
- Electrical and Electronic Engineering