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Measurements of Muscle Use during Steering Wheel Manipulation

机译:方向盘操纵期间肌肉使用的测量

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Knowing the neuromuscular admittance of drivers helps understanding how drivers adapt to different steering wheel configurations. System identification allows, through force perturbations on the steering wheel, for identification of endpoint admittance. Design of the forcing function can greatly influence the obtained results. We conducted an experiment to investigate the effects of frequency content and amplitude on estimated admittance. We also measured electromyography (EMG) activity in order to get an understanding of how the identified endpoint admittance strategies were realized at the level of individual muscle groups. The experiment took place in a fixed base driving simulator with an electrically actuated steering wheel. The results showed that when drivers were asked to be passive in response to force perturbations, amplitude and frequency content had little influence on endpoint admittance and EMG activity. However, resisting the perturbations yielded significantly lower admittance when the perturbations had more frequency content. EMG activity was not much influenced. Hence, we tentatively conclude that too much frequency content above 0.7 Hz suppresses reflexive muscle activity. To prevent this force perturbations for admittance measurements should contain enough power above 0.7 Hz to allow identification but as little as possible so as not to suppress reflexive muscle activity.
机译:了解司机的神经肌肉入场有助于了解司机如何适应不同的方向盘配置。系统识别允许通过方向盘上的力扰动,用于识别端点导纳。强制功能的设计可以大大影响所获得的结果。我们进行了一个实验,以研究频​​率内容和幅度对估计导入的影响。我们还测量了肌电图(EMG)活动,以了解如何在单个肌肉群的水平上实现所识别的终点入场策略。该实验在固定基座驱动模拟器中进行,具有电动方向盘。结果表明,当驾驶员被要求响应力扰动时被动,幅度和频率内容对端点导纳和EMG活性几乎没有影响。然而,当扰动具有更多频率含量时,抵抗扰动产生显着降低的导纳。 EMG活性并不暗。因此,我们暂时得出结论,超过0.7Hz的频率含量过多抑制反射肌肉活动。为了防止对进入测量的这种力扰动应含有足够的功率超过0.7Hz以允许识别,但尽可能少,以免抑制反应肌肉活动。

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