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dc.contributorAguilar Igartua, Mónica
dc.contributor.authorElbayoumy, Mahmoud Hany Mahmoud
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.descriptionMobilitApp project ( We offer Master/Degree thesis. The student will join the MobilitApp project that we develop in collaboration with the ATM (Autoritat del Transport Metropolità) of Barcelona. MobilitApp is able to detect the type of transportation and take statistics. Current on-going tasks: send an emergency message upon the occurrence of an accident, suggest alternative types of transportation, among other features. Sensor data from the smart phones is gathered and periodically sent to our Raspberry Pi server, where it is analysed. The goal
dc.description.abstractThe thesis presents our developments of algorithms and software for detecting means of transportation of citizens using motion data from the sensors built in Android smart phones. First, we worked on adding sensors data logging functionalities to an Android application called MobilitApp. Second, we worked on logging sensors data via using MobilitApp?s new functionality. Third, using the data collected, we worked with machine learning concepts to be able to detect the specific transportation activities. Eventually, we assessed multiple solutions to integrate the machine learning logic implementations with Android operating system.
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshMachine learning
dc.subject.lcshMobile apps
dc.subject.othermobile sensors
dc.titleMobilitApp project: user transportation activity recognition via mobile device sensors
dc.typeMaster thesis
dc.subject.lemacAprenentatge automàtic
dc.subject.lemacAplicacions mòbils
dc.rights.accessRestricted access - author's decision
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona

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