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Sensors 2017, 17(11), 2692; doi:10.3390/s17112692

An Orientation Sensor-Based Head Tracking System for Driver Behaviour Monitoring

1
School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK
2
Jaguar Land Rover Limited, University Road, University of Warwick, Coventry CV4 7AL, UK
*
Author to whom correspondence should be addressed.
Received: 16 October 2017 / Revised: 17 November 2017 / Accepted: 18 November 2017 / Published: 22 November 2017
(This article belongs to the Special Issue Sensors for Transportation)
View Full-Text   |   Download PDF [6364 KB, uploaded 22 November 2017]   |  

Abstract

Although at present legislation does not allow drivers in a Level 3 autonomous vehicle to engage in a secondary task, there may become a time when it does. Monitoring the behaviour of drivers engaging in various non-driving activities (NDAs) is crucial to decide how well the driver will be able to take over control of the vehicle. One limitation of the commonly used face-based head tracking system, using cameras, is that sufficient features of the face must be visible, which limits the detectable angle of head movement and thereby measurable NDAs, unless multiple cameras are used. This paper proposes a novel orientation sensor based head tracking system that includes twin devices, one of which measures the movement of the vehicle while the other measures the absolute movement of the head. Measurement error in the shaking and nodding axes were less than 0.4°, while error in the rolling axis was less than 2°. Comparison with a camera-based system, through in-house tests and on-road tests, showed that the main advantage of the proposed system is the ability to detect angles larger than 20° in the shaking and nodding axes. Finally, a case study demonstrated that the measurement of the shaking and nodding angles, produced from the proposed system, can effectively characterise the drivers’ behaviour while engaged in the NDAs of chatting to a passenger and playing on a smartphone. View Full-Text
Keywords: computer vision; non-driving activities; autonomous driving; attention level computer vision; non-driving activities; autonomous driving; attention level
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MDPI and ACS Style

Zhao, Y.; Görne, L.; Yuen, I.-M.; Cao, D.; Sullman, M.; Auger, D.; Lv, C.; Wang, H.; Matthias, R.; Skrypchuk, L.; Mouzakitis, A. An Orientation Sensor-Based Head Tracking System for Driver Behaviour Monitoring. Sensors 2017, 17, 2692.

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