Recognition of driving manoeuvres using smartphone-based inertial and GPS measurement

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dc.contributor.authorEngelbrecht, Jarretten_ZA
dc.contributor.authorBooysen, Marthinus J.en_ZA
dc.contributor.authorVan Rooyen, Gert-Janen_ZA
dc.date.accessioned2015-01-13T14:08:17Z
dc.date.available2015-01-13T14:08:17Z
dc.date.issued2014-12
dc.descriptionPlease cite as follows:en_ZA
dc.descriptionEngelbrecht, J., Booysen, M. J. & Van Rooyen, G-J. 2014. Recognition of driving manoeuvres using smartphone-based inertial and GPS measurement, in Proceedings of the First International Conference on the use of Mobile Informations and Communication Technology (ICT) in Africa UMICTA 2014, 9-10 December 2014, STIAS Conference Centre, Stellenbosch: Stellenbosch University, Department of Electrical & Electronic Engineering, South Africa, ISBN: 978-0-7972-1533-7.en_ZA
dc.descriptionThe conference is available at http://mtn.sun.ac.za/conference2014/en_ZA
dc.descriptionSee also the record http://hdl.handle.net/10019.1/95703en_ZA
dc.description.abstractThe ubiquitous presence of smartphones provides a new platform on which to implement sensor networks for ITS applications. In this paper we show how the embedded sensors and GPS of a smartphone can be used to recognize driving manoeuvres. Smartphone-based driving behaviour monitoring has applications in the insurance industry and for law enforcement. The proposed solution is suitable for real-time applications, such as driver assistance and safety systems. An endpoint detection algorithm is used on filtered accelerometer and gyroscope data to find the start- and endpoints of driving events. The relevant sensor data is compared against different sets of manoeuvre signal templates using the dynamic time warping (DTW) algorithm. A heuristic method is then used to classify a manoeuvre as normal or aggressive based on its speed and closest matching acceleration and rotation rate templates.en_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/96150
dc.language.isoen_ZAen_ZA
dc.subjectSmartphonesen_ZA
dc.subjectGPS measurementen_ZA
dc.subjectSensor networksen_ZA
dc.subjectWireless sensor networksen_ZA
dc.titleRecognition of driving manoeuvres using smartphone-based inertial and GPS measurementen_ZA
dc.typeConference Paperen_ZA
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