Latest revision as of 20:09, 3 February 2021

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 document

The different versions of the original document can be found in:

• http://wrap.warwick.ac.uk/79096/2/WRAP_1466174-wmg-160516-iv2016_0240_fi.pdf

• http://xplorestaging.ieee.org/ielx7/7527552/7535353/07535572.pdf?arnumber=7535572,

http://dx.doi.org/10.1109/ivs.2016.7535572

• https://dblp.uni-trier.de/db/conf/ivs/ivs2016.html#MelnicukBCJ16,

http://wrap.warwick.ac.uk/79096,

http://wrap-test.warwick.ac.uk/79096,

https://pureportal.coventry.ac.uk/en/publications/towards-hybrid-driver-state-monitoring-review-future-perspectives,

https://academic.microsoft.com/#/detail/2414129797