Orientation and displacement detection for smartphone device based inertial measurement units

Tarek A. Elarabi, Abhijit Suprem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Commonly, navigation uses GPS signals to determine location. In addition, GPS data can be collected over time to determine path taken. In spite of the ubiquity of GPS signals on the earth's surface, there are certain locations where GPS signals are not available, such as inside a buildings or tunnels. Therefore, to determine accurate positioning in areas where GPS signals are unavailable, an Inertial Measurement Unit (IMU) can be used in conjunction with GPS data. Modern IMUs are small enough to be contained in MEMS chips, including in smartphone devices such as iPhones. This work studies the integration between GPS signal and the collected data from smartphones' MEMS sensors. It also investigates the possibility of using the integrated GPS/MEMS information to estimate route when the GPS signal is missing. We propose estimating the missing GPS signal by sensor integration of smartphone data. This research work would enhance the GPS navigation to determine exact positions even in case of signal failures. Modern IMUs are expensive, and this research shows that GPS/IMU integration can be accomplished with off-the-shelf navigational components. This paper proposes a novel technique for estimating the missing GPS route by integrating data from the sensors available in modern smartphones.

Original languageEnglish (US)
Title of host publication2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages122-126
Number of pages5
ISBN (Electronic)9781509004805
DOIs
StatePublished - Jan 28 2016
Event15th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015 - Abu Dhabi, United Arab Emirates
Duration: Dec 7 2015Dec 10 2015

Other

Other15th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015
CountryUnited Arab Emirates
CityAbu Dhabi
Period12/7/1512/10/15

Fingerprint

Units of measurement
Smartphones
Global positioning system
MEMS
Sensors
Navigation
Tunnels

All Science Journal Classification (ASJC) codes

  • Signal Processing

Cite this

Elarabi, T. A., & Suprem, A. (2016). Orientation and displacement detection for smartphone device based inertial measurement units. In 2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015 (pp. 122-126). [7394313] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSPIT.2015.7394313
Elarabi, Tarek A. ; Suprem, Abhijit. / Orientation and displacement detection for smartphone device based inertial measurement units. 2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 122-126
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Elarabi, TA & Suprem, A 2016, Orientation and displacement detection for smartphone device based inertial measurement units. in 2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015., 7394313, Institute of Electrical and Electronics Engineers Inc., pp. 122-126, 15th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015, Abu Dhabi, United Arab Emirates, 12/7/15. https://doi.org/10.1109/ISSPIT.2015.7394313

Orientation and displacement detection for smartphone device based inertial measurement units. / Elarabi, Tarek A.; Suprem, Abhijit.

2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 122-126 7394313.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Elarabi TA, Suprem A. Orientation and displacement detection for smartphone device based inertial measurement units. In 2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 122-126. 7394313 https://doi.org/10.1109/ISSPIT.2015.7394313