2026-04-13T04:36:51Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1246122025-07-22T23:06:39Zcom_2072_1033col_2072_452951

00925njm 22002777a 4500 dc Elbayoumy, Mahmoud Hany Mahmoud author 2018-05 MobilitApp project (http://mobilitat.upc.edu//): 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 The 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. Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Machine learning Mobile apps Accelerometers MobilitApp transportation mobile sensors Chaquopy Aprenentatge automàtic Aplicacions mòbils Acceleròmetres MobilitApp project: user transportation activity recognition via mobile device sensors