Towards hybrid driver state monitoring: Review, future perspectives and the role of consumer electronics

Vadim Melnicuk, Stewart Birrell, Elizabeth Crundall, Paul Jennings

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

14 Citations (Scopus)

Abstract

The purpose of this paper is to bring together multiple literature sources which present innovative methodologies for the assessment of driver state, driving context and performance by means of technology within a vehicle and consumer electronic devices. It also provides an overview of ongoing research and trends in the area of driver state monitoring. As part of this review a model of a hybrid driver state monitoring system is proposed. The model incorporates technology within a vehicle and multiple brought-in devices for enhanced validity and reliability of recorded data. Additionally, the model draws upon requirement of data fusion in order to generate unified driver state indicator(-s) that could be used to modify in-vehicle information and safety systems hence, make them driver state adaptable. Such modification could help to reach optimal driving performance in a particular driving situation. To conclude, we discuss the advantages of integrating hybrid driver state monitoring system into a vehicle and suggest future areas of research.

Original languageEnglish
Title of host publication2016 IEEE Intelligent Vehicles Symposium, IV 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1392-1397
Number of pages6
ISBN (Electronic)9781509018215
DOIs
Publication statusPublished - 8 Aug 2016
Externally publishedYes
Event2016 IEEE Intelligent Vehicles Symposium, IV 2016 - Gotenburg, Sweden
Duration: 19 Jun 201622 Jun 2016

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings
Volume2016-August

Conference

Conference2016 IEEE Intelligent Vehicles Symposium, IV 2016
CountrySweden
CityGotenburg
Period19/06/1622/06/16

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation

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