Title

DriveID: safety innovation through individuation

Authors

Authors

B. Sawyer; G. Teo;M. Mouloua

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Work

Keywords

active safety; facial recognition; vehicle automation; teen fatalities; elderly drivers; NOVICE TEENAGE DRIVERS; Public, Environmental & Occupational Health

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.

Journal Title

Work-a Journal of Prevention Assessment & Rehabilitation

Volume

41

Publication Date

1-1-2012

Document Type

Article

Language

English

First Page

4273

Last Page

4278

WOS Identifier

WOS:000306361804066

ISSN

1051-9815

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