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Driver tracking and posture detection using low-resolution infrared sensing

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journal contribution
posted on 26.05.2009, 09:01 by I.J. Amin, Andrew J. Taylor, Robert M. Parkin
Intelligent sensors are playing an ever-increasing role in automotive safety. This paper describes the development of a low-resolution infrared (IR) imaging system for continuous tracking and identification of driver postures and movements. The resolution of the imager is unusually low at 16 x 16 pixels. An image processing technique has been developed using neural networks operating on a segmented thermographic image to categorize driver postures. The system is able reliably to identify 18 different driver positions, and results have been verified experimentally with 20 subjects driving in a car simulator. IR imaging offers several advantages over visual sensors; it will operate in any lighting conditions and is less intrusive in terms of the privacy of the occupants. Hardware costs for the low-resolution sensor are an order of magnitude lower than those of conventional IR imaging systems. The system has been shown to have the potential to play a significant role in future intelligent safety systems.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

AMIN, I.J., TAYLOR, A.J. and PARKIN, R.M., 2007. Driver tracking and posture detection using low-resolution infrared sensing. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 221(9), pp. 1079-1088.

Publisher

Professional Engineering Publishing / © IMECHE

Version

VoR (Version of Record)

Publication date

2007

Notes

This is an article from the journal, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering [© IMechE ]. It is also available at: http://dx.doi.org/10.1243/09544070JAUTO517

ISSN

0954-4070

Language

en