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Modeling of head movements towards lateral acceleration direction via system identification for motion sickness study

机译:通过系统识别为晕车研究对头部朝向横向加速度方向的运动进行建模

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Motion sickness (MS) can easily occur especially during slalom or curve driving. Generally, the passengers are more susceptible to MS compared to the drivers. It is already proven that the difference of their susceptibility is because of their different head tilt movements towards lateral acceleration direction when negotiating a curve. During curvature, the passengers tend to tilt their head towards lateral acceleration direction while the drivers tend to tilt their head against the lateral acceleration direction. Therefore, to reduce MS in slalom or curvy paths, it is necessary for the passenger to follow the driver's head movements. It will be easier to design MS minimization strategies if we know the head movements from both passengers and drivers in mathematical expression. Thus, this study proposed modeling of the passenger's and driver's head movements towards vehicle's lateral acceleration via System Identification method. Experiment is conducted to collect the data for the modeling process. The modeling results show the correlation between passenger's and driver's head movements with lateral acceleration direction in first and second transfer function forms. With further study, the derived model can be contributed in motion sickness minimization study.
机译:晕车(MS)容易发生,特别是在回旋或弯道驾驶时。通常,与驾驶员相比,乘客更容易患MS。已经证明,它们的敏感性差异是由于在协商曲线时它们朝向横向加速度方向的不同的头部倾斜运动。在弯曲期间,乘客倾向于将他们的头部朝向横向加速度方向倾斜,而驾驶员倾向于将他们的头部朝向横向加速度方向倾斜。因此,为了减少障碍滑雪道或弯道中的MS,乘客必须跟随驾驶员的头部运动。如果我们以数学表达式知道乘客和驾驶员的头部运动,则设计MS最小化策略将更加容易。因此,本研究提出了通过系统识别方法对乘客和驾驶员头部向车辆横向加速度的运动建模。进行实验以收集用于建模过程的数据。建模结果表明,在第一和第二传递函数形式中,乘客和驾驶员头部运动与横向加速度方向之间的相关性。通过进一步的研究,可以将导出的模型用于晕动病最小化研究。

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