Vigilance monitoring for operator safety: A simulation study on highway driving

被引:37
|
作者
Desai, A. V. [1 ]
Haque, M. A. [1 ]
机构
[1] Penn State Univ, Dept Mech & Nucl Engn, University Pk, PA 16802 USA
关键词
drowsiness detection; driving simulation; vehicle-human interface; accident prevention; spikiness index;
D O I
10.1016/j.jsr.2005.11.003
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Introduction: Alertness of individuals operating vehicles, aircrafts, and machinery is a pre-requisite for safety of the individual and for avoiding economic losses. In this paper, we present a new technique for determining the alertness level of the operator and elaborate the methodology for the specific case of highway driving. Method: Our hypothesis is that the time derivative of force exerted by the driver at the vehicle-human interfaces can be used to construct a signature of individual driving styles and to discern different levels of alertness. Results: In this study, we present experimental results corroborating this hypothesis and introduce a parameter, 'spikiness index,' for the time series data of the force derivative to quantify driver alertness. Impact on Industry: The low cost, ruggedness, and low-volume data processing requirements of the proposed technique give it a competitive edge over existing predominantly image processing based vigilance monitoring systems. (c) 2006 National Safety Council and Elsevier Ltd. All rights reserved.
引用
收藏
页码:139 / 147
页数:9
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