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Driver and Passenger Identification from Smartphone Data

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Langdon, PM 
Liang, J 
Godsill, SJ 
Delgado, M 

Abstract

The objective of this paper is twofold. First, it presents a brief overview of existing driver and passenger identification or recognition approaches which rely on smartphone data. This includes listing the typically available sensory measurements and highlighting a few key practical considerations for automotive settings. Second, a simple identification method that utilises the smartphone inertial measurements and, possibly, doors signal is proposed. It is based on analysing the user behaviour during entry, namely the direction of turning, and extracting relevant salient features, which are distinctive depending on the side of entry to the vehicle. This is followed by applying a suitable classifier and decision criterion. Experimental data is shown to demonstrate the usefulness and effectiveness of the introduced probabilistic, low-complexity, identification technique.

Description

Keywords

Identification, connected vehicles, classification, intelligent vehicles, sensor data fusion

Journal Title

IEEE Transactions on Intelligent Transportation Systems

Conference Name

Journal ISSN

1524-9050
1558-0016

Volume Title

20

Publisher

Institute of Electrical and Electronics Engineers (IEEE)
Sponsorship
Jaguar Land Rover under the Centre for Advanced Photonics and Electronics (CAPE) agreement.