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Open AccessArticle

Accurate Driver Detection Exploiting Invariant Characteristics of Smartphone Sensors

1
Department of Robotics Engineering, Hanyang University, 55 Hanyang-Daehakro, Ansan-si 15588, Gyeonggi-do, Korea
2
BIGHEART, National University of Singapore, MD6, 13 Medical Drive #14-01, Singapore 117599, Singapore
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(11), 2643; https://doi.org/10.3390/s19112643
Received: 25 March 2019 / Revised: 28 May 2019 / Accepted: 7 June 2019 / Published: 11 June 2019
(This article belongs to the Section Intelligent Sensors)
Distracted driving jeopardizes the safety of the driver and others. Numerous solutions have been proposed to prevent distracted driving, but the number of related accidents has not decreased. Such a deficiency comes from fragile system designs where drivers are detected exploiting sensory features from strictly controlled vehicle-riding actions and unreliable driving events. We propose a system called ADDICT (Accurate Driver Detection exploiting Invariant Characteristics of smarTphone sensors), which identifies the driver utilizing the inconsistency between gyroscope and magnetometer dynamics and the interplay between electromagnetic field emissions and engine startup vibrations. These features are invariantly observable regardless of smartphone positions and vehicle-riding actions. To evaluate the feasibility of ADDICT, we conducted extensive experiments with four participants and three different vehicles by varying vehicle-riding scenarios. Our evaluation results demonstrated that ADDICT identifies the driver’s smartphone with 89.1% average accuracy for all scenarios and >85% under the extreme scenario, at a marginal cost of battery consumption. View Full-Text
Keywords: driver detection; invariant sensory characteristics; built-in smartphone sensors; distracted driving; driving while distracted driver detection; invariant sensory characteristics; built-in smartphone sensors; distracted driving; driving while distracted
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Ahn, D.; Park, H.; Shin, K.; Park, T. Accurate Driver Detection Exploiting Invariant Characteristics of Smartphone Sensors. Sensors 2019, 19, 2643.

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