In the last years there has been a rising interest in monitoring driver behaviors by using smartphones, due to their increasing market penetration. Inertial sensors embedded in these devices are key to carry out this task. Most of the state-of-the-art apps use fix thresholds to detect driving events from the inertial sensors. However, sensors output values can differ depending on many parameters. In this paper we present an Adaptive Fuzzy Classifier to identify sudden driving events (acceleration, steering, braking) and road bumps from the inertial and GPS sensors. An on-line calibration method is proposed to adjust the decision thresholds of the Membership Functions (MFs) to the specific phone pose and vehicle dynamics. To validate our method, we use the UAH-Driveset database [1], which includes more than 500 minutes of naturalistic driving, and we compare results with our previous DriveSafe [2] app version, based on fix thresholds. Results show a notable improvement in the events detection regarding our previous version.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Adaptive fuzzy classifier to detect driving events from the inertial sensors of a smartphone


    Contributors:


    Publication date :

    2016-11-01


    Size :

    579556 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Leveraging Smartphone Sensors to Detect Distracted Driving Activities

    Ben Ahmed, Kaoutar / Goel, Bharti / Bharti, Pratool et al. | IEEE | 2019


    Practical driving analytics with smartphone sensors

    Kang, Lei / Banerjee, Suman | IEEE | 2017


    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024


    Dangerous driving behavior detection using smartphone sensors

    Fu Li / Hai Zhang / Huan Che et al. | IEEE | 2016


    Online Assessment of Driving Riskiness via Smartphone-Based Inertial Measurements

    Gelmini, Simone / Strada, Silvia C. / Tanelli, Mara et al. | IEEE | 2021