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    Probabilistic Estimation of Occupant Body Motion for Investigating Discomfort

    Probabilistic Estimation of Occupant Body Motion for Investigating Discomfort


    An occupant body motion capture system is developed for the purpose of investigating discomfort during transient vehicle motion. The system is based on probabilistic sensor fusion of visual and inertial measurements using an extended Kalman state estimator and is capable of estimating the translational and rotational states of the occupant body position, velocity, and acceleration. Experimental results validate the feasibility of estimating the occupant head and torso motion states in an accelerating vehicle. The proposed system enables further research into the objective and subjective response of vehicle occupants.

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    Title :

    Probabilistic Estimation of Occupant Body Motion for Investigating Discomfort

    Additional title:

    Lect.Notes Mechanical Engineering

    Contributors:
    Orlova, Anna (editor) / Cole, David (editor) / Abdelmoeti, Samer (author) / Cole, David (author)
    Conference:

    The IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks ; 2021 August 17, 2021 - August 19, 2021

    Published in:

    Advances in Dynamics of Vehicles on Roads and Tracks II ; Chapter : 80 ; 862-871

    Lecture Notes in Mechanical Engineering

    Publication date :

    2022-08-06

    Size :

    10 pages

    ISBN :

    978-3-031-07305-2 , 978-3-031-07304-5

    ISSN :

    2195-4364 , 2195-4356

    DOI :

    https://doi.org/10.1007/978-3-031-07305-2_80

    Type of media :

    Article/Chapter (Book)

    Type of material :

    Electronic Resource

    Language :

    English

    Keywords :

    Occupant motion , Motion capture , Probabilistic estimation , Sensor fusion , Discomfort Engineering , Automotive Engineering , Complexity , Transportation Technology and Traffic Engineering

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