MOBIUS: Smart Mobility Tracking with Smartphone Sensors

Daniele Di Mitri*, Khaleel Asyraaf Mat Sanusi, Kevin Trebing, Stefano Bromuri

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review


In this paper we introduce MOBIUS, a smartphone-based system for remote tracking of citizens’ movements. By collecting smartphone’s sensor data such as accelerometer and gyroscope, along with self-report data, the MOBIUS system allows to classify the users’ mode of transportation. With the MOBIUS app the users can also activate GPS tracking to visualise their journeys and travelling speed on a map. The MOBIUS app is an example of a tracing app which can provide more insights into how people move around in an urban area. In this paper, we introduce the motivation, the architectural design and development of the MOBIUS app. To further test its validity, we run a user study collecting data from multiple users. The collected data are used to train a deep convolutional neural network architecture which classifies the transportation modes using with a mean accuracy of 89%.

Original languageEnglish
Title of host publicationScience and Technologies for Smart Cities - 6th EAI International Conference, SmartCity360°, Proceedings
EditorsSara Paiva, Sérgio Ivan Lopes, Rafik Zitouni, Nishu Gupta, Sérgio F. Lopes, Takuro Yonezawa
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
ISBN (Print)9783030760625
Publication statusPublished - 2021
Event6th EAI International Conference on Science and Technologies for Smart Cities, SmartCity 2020 - Virtual, Online
Duration: 2 Dec 20204 Dec 2020

Publication series

SeriesLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST


Conference6th EAI International Conference on Science and Technologies for Smart Cities, SmartCity 2020
Internet address


  • Human-activity recognition
  • Mobility tracking
  • Smart mobility
  • Smartphone data


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