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You're driving and texting: Detecting drivers using personal smart phones by leveraging inertial sensors

  • Cheng Bo
  • , Xuesi Jian
  • , Xiang Yang Li
  • , Xufei Mao
  • , Yu Wang
  • , Fan Li
  • Illinois Institute of Technology
  • Tsinghua University
  • University of North Carolina at Charlotte

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, we address a critical task of detecting the user behavior of driving and texting simultaneously using smartphones. We propose, design, and implement TEXIVE which achieves the goal of distinguishing drivers and passengers, and detecting texting operations during driving utilizing irregularities and rich micromovements of users. Without relying on any external infrastructures and additional devices, and no need to bring any modification to vehicles, TEXIVE is able to successfully detect dangerous operations with good sensitivity, specificity and accuracy. We conduct experimental study of TEXIVE with the help of a number of volunteers using various vehicles and smartphones. Our results indicate that TEXIVE has a classification accuracy of 87.18%, and precision of 96.67%.

Original languageEnglish
Title of host publicationMobiCom 2013 - Proceedings of the 19th Annual International Conference on Mobile Computing and Networking
Pages199-201
Number of pages3
DOIs
Publication statusPublished - 2013
Event19th Annual International Conference on Mobile Computing and Networking, MobiCom 2013 - Miami, FL, United States
Duration: 30 Sept 2013 → 4 Oct 2013

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Conference

Conference19th Annual International Conference on Mobile Computing and Networking, MobiCom 2013
Country/TerritoryUnited States
CityMiami, FL
Period30/09/13 → 4/10/13

Keywords

  • Classification
  • Smartphone
  • Texive

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