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Platform for Teaching Sensor Fusion Using a Smartphone
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1971-4295
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
2017 (English)In: International journal of engineering education, ISSN 0949-149X, Vol. 33, no 2B, 781-789 p.Article in journal (Refereed) Published
Abstract [en]

A platform for sensor fusion consisting of a standard smartphone equipped with the specially developed Sensor Fusion appis presented. The platform enables real-time streaming of data over WiFi to a computer where signal processingalgorithms, e.g., the Kalman filter, can be developed and executed in a Matlab framework. The platform is an excellenttool for educational purposes and enables learning activities where methods based on advanced theory can be implementedand evaluated at low cost. The article describes the app and a laboratory exercise developed around these new technologicalpossibilities. The laboratory session is part of a course in sensor fusion, a signal processing continuation course focused onmultiple sensor signal applications, where the goal is to give the students hands on experience of the subject. This is done byestimating the orientation of the smartphone, which can be easily visualized and also compared to the built-in filters in thesmartphone. The filter can accept any combination of sensor data from accelerometers, gyroscopes, and magnetometers toexemplify their importance. This way different tunings and tricks of important methods are easily demonstrated andevaluated on-line. The presented framework facilitates this in a way previously impossible.

Place, publisher, year, edition, pages
Tempus Publications , 2017. Vol. 33, no 2B, 781-789 p.
Keyword [en]
electrical engineering education; student experiments; sensor fusion; inertial sensors; Kalman filter
National Category
Signal Processing Control Engineering Pedagogical Work
Identifiers
URN: urn:nbn:se:liu:diva-136488OAI: oai:DiVA.org:liu-136488DiVA: diva2:1088763
Available from: 2017-04-14 Created: 2017-04-14 Last updated: 2017-04-25

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Hendeby, GustafGustafsson, FredrikWahlström, NiklasGunnarsson, Svante
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