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Reliable identification of vehicle-boarding actions based on fuzzy inference system

Title
Reliable identification of vehicle-boarding actions based on fuzzy inference system
Authors
Ahn, D.[Ahn, Dae Han]Park, H.[Park, Ho Min]Hwang, S.[Hwang, Seok Hyun]Park, T.[Park, Tae Joon]
DGIST Authors
Ahn, D.[Ahn, Dae Han]
Issue Date
2017
Citation
Sensors, 17(2)
Type
Article
Article Type
Article
Keywords
Comprehensive EvaluationDriver IdentificationDriving While DistractedFuzzy InferenceFuzzy Inference SystemFuzzy Inference SystemsFuzzy SystemsInertial SensorInertial SensorsSignal EncodingSmartphonesVehicle-Boarding ActionsVehicle TypesVehicles
ISSN
1424-8220
Abstract
Existing smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding actions, thereby failing to meet the required level of accuracy in real-life environments. In this paper, exploiting unique sensory features consistently monitored from a broad range of complicated vehicle-boarding actions, we propose a reliable and accurate system based on fuzzy inference to classify the sides of vehicle entrance by leveraging built-in smartphone sensors only. The results of our comprehensive evaluation on three vehicle types with four participants demonstrate that the proposed system achieves 91.1%∼94.0% accuracy, outperforming other methods by 26.9%∼38.4% and maintains at least 87.8% accuracy regardless of smartphone positions and vehicle types. © 2017 by the authors; licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/2098
DOI
10.3390/s17020333
Publisher
MDPI AG
Files:
There are no files associated with this item.
Collection:
Information and Communication EngineeringRTCPS(Real-Time Cyber-Physical Systems) Lab1. Journal Articles


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