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An analysis of smartphone sensors used in acceleration and velocity measurements
University West, Department of Engineering Science, Division of Computer and Electrical Engineering.
University West, Department of Engineering Science, Division of Computer and Electrical Engineering.
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study has been made in cooperation with the company LeanNova Engineering AB, aimed to verify whether modern smartphones are accurate enough when measuring acceleration and velocity in estimation of the drive ability of a vehicle. The accelerometer and the GPS in three different smartphones have been tested and compared to Race Logic Velocity Box (VBOX) mini system equipment. VBOX mini system is a commonly used test equipment for this kind of measurements. A test sequence has been developed to capture the most important test cases when it comes to drive ability of a vehicle.

The GPS receiver in the tested smartphones has a sample rate of 1 Hz which is fixed, due to the hardware itself. The calculated velocity from the GPS signal differs more or less to the reference data of the VBOX mini system, depending on the used smartphone. The GPS in the smartphones seems to lose its signal in certain cases, which gives a few samples of incorrect information. To improve the occasionally bad performance of the GPS, a sensor fusion and a Kalman filter algorithm has been implemented. The filter fuses data from the GPS and the accelerometer in the smartphones.

Measuring acceleration using the accelerometer in the smartphones provides a signal containing lots of noise, originating from the vibrations in vehicle which propagates into the smartphones. Using a simple moving average filter to reduce the noise gave a result close to the reference data.

Three different smartphones were tested: Samsung Galaxy S3, Samsung Galaxy S5 and Sony Xperia S lt26i. The two Samsung smartphones gave similar result, were Samsung Galaxy S3 provided the best result. The GPS in the Sony Xperia S lt26i was not good enough, and consequently the Sony smartphone is not suited for this kind of measurements.

The best result were archived when using sensor fusion and a Kalman filter for estimating the velocity, and a moving average filter on the accelerometer signal to estimating acceleration. The result from the Samsung smartphones is considered good enough, as a compliment to ordinary test equipment, when estimating the drive ability of a vehicle

Place, publisher, year, edition, pages
2014. , 31 p.
Keyword [en]
Sensor fusion, Kalman filter, GPS, accelerometer, smartphone, accuracy, drive
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hv:diva-6864Local ID: EXC585OAI: oai:DiVA.org:hv-6864DiVA: diva2:756447
Subject / course
Electrotechnology
Educational program
Elkraft
Supervisors
Examiners
Available from: 2014-10-20 Created: 2014-10-17 Last updated: 2014-10-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • nn-NO
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