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Automatic Identification of Driver's Smartphone Exploiting Common Vehicle-riding Actions

Title
Automatic Identification of Driver's Smartphone Exploiting Common Vehicle-riding Actions
Authors
Park, HominAhn, DaeHanPark, TaejoonShin, Kang G.
DGIST Authors
Park, Homin; Ahn, DaeHan
Issue Date
2017
Citation
IEEE Transactions on Mobile Computing
Type
Article
Article Type
Article in Press
Keywords
AccidentsAutomatic IdentificationAutomatic Vehicle IdentificationAutomationAutomobile Safety DevicesDistracted DrivingElectromagnetic FieldsEnergy UtilizationEnginesFeature Extraction
ISSN
1536-1233
Abstract
Texting or browsing web on a smartphone while driving is one of the most distracting activities that significantly increase the risk of car accidents. There have been a number of proposals for the prevention of distracted driving, but none of them has addressed its important challenges completely and effectively. To remedy this deficiency, we present an event-driven solution, called Automatic Identification of Driver's Smartphone (AIDS), which identifies a driver's smartphone by analyzing and fusing the phone's sensory information related to common vehicle-riding activities. AIDS extracts features useful for identification of the driver's phone from diverse sensors available in commodity smartphones. It identifies the driver's phone before the vehicle leaves its parked spot, and differentiates seated (front or rear) rows in a vehicle by analyzing the subtle electromagnetic field spikes caused by the starting of the engine. To evaluate the feasibility and adaptability, we have conducted extensive experiments: a prototype of AIDS was distributed to 12 participants, who have driven 7 different vehicles for 3 days in real-world environments. Our evaluation results show that AIDS identified the driver's phone with an 83.3-93.3% true positive rate while achieving a 90.1-91.2% true negative rate at a marginal increase of the phone's energy consumption. IEEE
URI
http://hdl.handle.net/20.500.11750/4286
DOI
10.1109/TMC.2017.2724033
Publisher
Institute of Electrical and Electronics Engineers Inc.
Files:
There are no files associated with this item.
Collection:
ETC1. Journal Articles


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