The driver seat adjustment range for a midsize sedan has been determined using optimisation based posture prediction and is comparable to the original range of the vehicle. The advantage of using optimisation based posture prediction to digitally model a human inside of the cab is the robust design capabilities of the digital model. To determine the optimum seat adjustment range for a different vehicle, the simulator does not need to be altered. A full simulation similar to the one presented in the results section is capable of predicting the optimum seat adjustment range. The same boundary digital human models can be used in the new simulation. The only adjustment needed for a different vehicle is in the dimensions of the cab. Using the new cab dimensions and the program scripts described earlier, it is possible to test a completely different vehicle. Another advantage of digital human modelling is the ability to test the interior cab design of vehicles that are not intended for commercial use. It is possible to test the interior cab of vehicles designed for construction or any other vehicle with a cab using the same simulator and MSE. The difference in testing specialised vehicles is using different boundary digital human models. For specialised vehicles, it may not be necessary to test the full range of human population, from 5% female to 95% male, as was the case with this paper. To test another subject, it is only necessary to determine the appropriate dimensions of the subject's body. This paper presents a robust simulation environment capable of testing various vehicle interiors to determine the optimum seat adjustment range, based off of optimised posture prediction and digital human modelling. Future work will test the interior design of two additional vehicles to determine the seat adjustment ranges. Comparisons between these vehicles and the current midsize sedan will aim to further validate the use of digital human modelling as a means for posture prediction and an aid in vehicular design. Ongoing research is also being conducted to improve the current digital human models. Research is being conducted to determine a standard for the joint weights used in the joint displacement objective function, based on human posture obtained from motion capture and optimised posture prediction. Ongoing research is also aiming to improve the shoulder model used in the simulation. Studies are being conducted to determine a more realistic shoulder model that relates the coupled movement of the scapula and clavicle as a unit instead of treating them separately, as in this study. Finally, the next project will make use of two other objective functions in combination with joint displacement and visual displacement. The joint torque objective function will aim to find the posture that creates a minimum amount of collective joint torque across the body. The joint discomfort objective function will aim to give a better indication of the comfort of the model in the seated posture.


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    Title :

    Optimisation-based approach for determining driver seat adjustment range for vehicles


    Contributors:

    Published in:

    Publication date :

    2012


    Size :

    14 Seiten, 8 Bilder, 1 Tabelle, 14 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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