About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Mobile Wireless Middleware, Operating Systems and Applications. 9th EAI International Conference, MOBILWARE 2020, Hohhot, China, July 11, 2020, Proceedings

Research Article

A Study on the Error Characteristics of Smartphone Inertial Sensors

Download(Requires a free EAI acccount)
3 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-62205-3_12,
        author={Huifeng Li},
        title={A Study on the Error Characteristics of Smartphone Inertial Sensors},
        proceedings={Mobile Wireless Middleware, Operating Systems and Applications. 9th EAI International Conference, MOBILWARE 2020, Hohhot, China, July 11, 2020, Proceedings},
        proceedings_a={MOBILWARE},
        year={2020},
        month={11},
        keywords={Sensor errors Smartphones Gaussian distribution},
        doi={10.1007/978-3-030-62205-3_12}
    }
    
  • Huifeng Li
    Year: 2020
    A Study on the Error Characteristics of Smartphone Inertial Sensors
    MOBILWARE
    Springer
    DOI: 10.1007/978-3-030-62205-3_12
Huifeng Li1,*
  • 1: School of Computer
*Contact email: 33288653@qq.com

Abstract

The inertial sensors embedded in current smartphones are being used in a variety of applications, including motion monitoring, safe driving, panoramic roaming, Pedestrian Dead Reckoning (PDR), etc. Since the performance of these sensors has significant influences on these applications, it is of great value to comprehensively understand how the measurements returned by these sensors are statistically distributed. Most existing studies assume white Gaussian noises in sensor measurements, which is not experimentally confirmed in realistic and dynamic scenarios with commercial off-the-shelf (COTS) smartphones. In this paper, we study the statistical error characteristics of sensor measurements through extensive experiments in practice. The experimental results reveal that, when the device is stationary, the sensor measurement errors fully obey the standard Gaussian distribution; when the speed of smartphones increases, the sensor measurement errors begin rising, and the discrepancy between its distribution and the Gaussian distribution is enlarged. This paper establishes foundation for studying the statistical characteristics of the measurement errors of smartphone inertial sensors.

Keywords
Sensor errors Smartphones Gaussian distribution
Published
2020-11-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-62205-3_12
Copyright © 2020–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL