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Wavelet Transform with Application in Roadside Landscape Design

机译:小波变换与路边景观设计中的应用

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This paper aims to apply the wavelet transform to the study of driver's heart rate in different roadside landscape patterns. In the methodology, we describe the procedure in detail that implementing wavelet transform to denoise heart rate signal. The result shows the algorithm presented with the best performance is suitable to process heart rate signal. In the case study, taking advantage of the superiority of wavelet transform in time-frequency domain, it is apparent that heart rate is in a state of fluctuation continuously. That confirms that sensitivity of heart rate measure the mental workload. We also observe that landscape transition enhance driver's heart rate on a small scale, which makes a positive effect on driver and can be adopted as a countermeasure against the fatigue of driver in the further road landscape design.
机译:本文旨在将小波变换应用于不同路边景观模式的驾驶员心率研究。 在方法中,我们详细描述了实现小波变换以去代标心率信号的过程。 结果表明,具有最佳性能的算法适用于处理心率信号。 在实例研究中,利用时间频域中小波变换的优越性,显然心率是连续波动的状态。 这证实了心率敏感度测量心理工作量。 我们还观察到景观过渡提高了驾驶员的心率,这对驾驶员产生了积极影响,可以作为对进一步道路景观设计中驾驶员疲劳的对策。

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