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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
Author
박태준
Keywords
driver identification; fuzzy inference system; vehicle-boarding actions; inertial sensors; driving while distracted; ANFIS
Issue Date
2017-02
Publisher
MDPI AG
Citation
SENSORS, v. 17, No. 2, Article no. 333
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.
URI
http://www.mdpi.com/1424-8220/17/2/333https://repository.hanyang.ac.kr/handle/20.500.11754/71727
ISSN
1424-8220
DOI
10.3390/s17020333
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ROBOT ENGINEERING(로봇공학과) > Articles
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