Sitting posture as the input of the design of Automobile seat face, makes a huge effect on the overall seat comfort. The current software for sitting posture calculation is based on the SAE manikin and European driving habits for sitting, which is much different from the Chinese one. This paper firstly analyzes the key factors that affect the driving posture, and defines the input of the prediction model, and then predict the position of eye points and H point in different vehicles for different drivers, with the step-wise regression method. A inverse kinematic method is applied to solve the posture of torso, upper limbs and lower limbs to obtain the overall sitting posture. Finally, the accuracy of the model is verified by a comparison between the measured data and the predicted one.


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    Titel :

    Passenger Car’ Sitting Posture Prediction Research


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Long, Shengzhao (Herausgeber:in) / Dhillon, Balbir S. (Herausgeber:in) / Qin, Lipeng (Autor:in) / Zuo, Peiwen (Autor:in) / Lv, Hui (Autor:in)

    Kongress:

    International Conference on Man-Machine-Environment System Engineering ; 2022 ; Beijing, China October 21, 2022 - October 23, 2022



    Erscheinungsdatum :

    2022-08-21


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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