A new non-intrusive authentication method based on dynamics of driver's upper body joint angles

Ching Han Yang, Deron Liang, Chin Chun Chang, Chien Cheng Lin

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

Abstract

Today, vehicles have been an essential part of our daily life. Existing vehicle security systems rely primarily on lock devices, alarm systems or fingerprints as forms of protection. A non-intrusive driver authentication mechanism could be incorporated into existing vehicle security system to offer a greater degree of multilevel protection. In this paper, we propose a novel non-intrusive authentication mechanism based on dynamics of driver's upper body joint angles. This new approach is based on the hypothesis that a driver has a specific habit to drive a vehicle; and such behavioral biometrics can be captured from the motion capture system. We design an authentication mechanism that adopted 40 new features transformed from the information of the driver's upper body joints. To validate this hypothesis, we have used iPi motion capture system to collect driver's behavioral biometrics. The experimental results show that the proposed approach has an equal error rate about 13%.

Original languageEnglish
Title of host publication2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages341-346
Number of pages6
ISBN (Electronic)9781479963904
DOIs
StatePublished - 14 Jul 2015
Event2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015 - Las Vegas, United States
Duration: 9 Jan 201512 Jan 2015

Publication series

Name2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015

Conference

Conference2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015
Country/TerritoryUnited States
CityLas Vegas
Period9/01/1512/01/15

Keywords

  • Biometrics
  • Driving Behavior
  • Upper Body Joint Angle
  • User Authentication

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