Vigilance monitoring for operator safety: A simulation study on highway driving |
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Authors: | Desai A V Haque M A |
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Affiliation: | Department of Mechanical and Nuclear Engineering, the Pennsylvania State University, University Park, 16802, USA. |
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Abstract: | ![]() 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. |
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Keywords: | Drowsiness detection Driving simulation Vehicle-human interface Accident prevention Spikiness index |
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