Title

Movement-In-Depth, Cognitive Impairment, And Crash Risk

Keywords

active safety; elderly drivers; facial recognition; teen fatalities; vehicle automation

Abstract

The driving task is highly complex and places considerable perceptual, physical and cognitive demands on the driver. As driving is fundamentally an information processing activity, distracted or impaired drivers have diminished safety margins compared with non- distracted drivers (Hancock and Parasuraman, 1992; TRB 1998 a & b). This competition for sensory and decision making capacities can lead to failures that cost lives. Some groups, teens and elderly drivers for example, have patterns of systematically poor perceptual, physical and cognitive performance while driving. Although there are technologies developed to aid these different drivers, these systems are often misused and underutilized. The DriveID project aims to design and develop a passive, automated face identification system capable of robustly identifying the driver of the vehicle, retrieve a stored profile, and intelligently prescribing specific accident prevention systems and driving environment customizations. © 2012 - IOS Press and the authors. All rights reserved.

Publication Date

4-23-2012

Publication Title

Work

Volume

41

Issue

SUPPL.1

Number of Pages

5386-5388

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.3233/WOR-2012-0827-5386

Socpus ID

84859840504 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84859840504

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