Accurate Driver Detection Exploiting Invariant Characteristics of Smartphone Sensors
- Title
- Accurate Driver Detection Exploiting Invariant Characteristics of Smartphone Sensors
- Author
- 박태준
- Keywords
- driver detection; invariant sensory characteristics; built-in smartphone sensors; distracted driving; driving while distracted
- Issue Date
- 2019-06
- Publisher
- MDPI
- Citation
- SENSORS, v. 19, No. 11, Article no. 2643
- Abstract
- 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.
- URI
- https://www.mdpi.com/1424-8220/19/11/2643https://repository.hanyang.ac.kr/handle/20.500.11754/116983
- ISSN
- 1424-8220
- DOI
- 10.3390/s19112643
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ROBOT ENGINEERING(로봇공학과) > Articles
- Files in This Item:
- 2019.06_박태준_Accurate Driver Detection Exploiting Invariant Characteristics of Smartphone Sensors.pdfDownload
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