Monitoring driver’s postures has extensive applications. The postural information could be used for the development of smart airbags, for detecting possible fatigue in long travel and for recognizing activities which may determine if the driver has enough time to take over the control in an intelligent vehicle when encountering hazardous situations. Microsoft Kinect is one of the best candidates for monitoring driver’s posture thanks to its innovative feature of real time motion capture without use of markers and its low cost. However, when body parts are partially occluded, the accuracy of Kinect data will drop markedly. Inspired by previous researches, the present work focused on testing a data driven approach for improving driver’s upper body movement reconstruction with a Kinect camera. Firstly, we organize a database of accurately captured driver poses from different motion clips with filtered structures, including a global motion graph and multiple local motion graphs. The reliability of individual skeletal joint from Kinect posture is objectively evaluated to work with weighted KNN to extract similar postures from the prior database. We then apply PCA to create an intermediary posture space where Simulated Annealing Algorithm is utilized to synthesize natural and kinematically valid postures. Kalman Filter is employed to help select the perspective posture candidates as well as to ensure temporal motion continuity across frames. The preliminary results show that the implemented method could remarkably improve the quality of reconstructed driver’s postures from Kinect and the framework has a great potential to be used to monitor the driver.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    In Vehicle Diver Postural Monitoring using a Depth Camera Kinect


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    WCX World Congress Experience ; 2018



    Publication date :

    2018-04-03




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    In Vehicle Diver Postural Monitoring using a Depth Camera Kinect

    Zhao, Mingming / Beurier, Georges / Wang, Hongyan et al. | British Library Conference Proceedings | 2018


    DIVER MONITORING METHOD AND DIVER MONITORING SYSTEM

    FUKUDA YUTO / MOCHIZUKI NAOKI / KUNISAWA HIROSHI | European Patent Office | 2024

    Free access


    Monitoring diver umbilicals

    CHRISTIAN LINDE OLSEN / JAN BØRGE MORK SAETRE | European Patent Office | 2021

    Free access

    Diver Propulsion Vehicle

    European Patent Office | 2023

    Free access