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QUANTIFICATION OF DRIVERS MENTAL WORKLOAD DURING OUTDOOR TESTING USING HEART RATE VARIABILITY

机译:使用心率变异性在室外测试期间的驾驶员心理工作量的量化

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The goal of the research described in this paper is to assess and quantify the relation between driver's mental workload and his subjective evaluation by using heart rate measures. This could reveal part of the drivers perception expressed in his evaluation. Therefore electrocardiography (ECG)-measures are taken with two drivers while driving different manoeuvres at a test track. In addition, the tyre characteristics are changed to induce different vehicle behaviour. Both mental and physical workload are quantified for the different manoeuvres by the drivers using the Rating Scale Mental Effort and related to derived values of the ECG. For the time domain, the Inter Beat Interval (IBI) is used. For the frequency domain, spectral analyses of the IBI are performed. The results obtained in this research showed that mental workload of a driver during outdoor testing can be quantified by using heart rate measures. Although the mean IBI can give an indication of mental workload, it is shown that other factors can influence the IBI, especially physical workload, making this measure less reliable. Spectral analyses of the IBI and using the LF/HF ratio seems to be a better candidate for indication of mental workload. The rating of the mental workload done by the driver on the RSME corresponds well with this ratio. Spectral analyses of IBI does requires more data processing and does not allow too many artefacts in the ECG data, which is more difficult to prevent in applied automotive settings than in laboratory setting.
机译:本文描述的研究目的是通过使用心率测量来评估和量化驾驶员心理工作量与他主观评价之间的关系。这可以揭示他评估中表达的司机感知的一部分。因此,心电图(ECG) - 在试验轨道驱动不同的机动时,用两个司机拍摄。此外,轮胎特性改变以诱导不同的车辆行为。使用评级规模心理努力和与ECG的导出值相关的司机对不同的操作进行量化的精神和物理工作负载。对于时域,使用帧间节拍间隔(IBI)。对于频域,执行IBI的光谱分析。本研究中获得的结果表明,通过使用心率测量,可以量化室外测试期间的驾驶员的心理工作量。虽然平均IBI可以给出心理工作量的指示,但结果表明其他因素可以影响IBI,特别是物理工作量,使得该措施不太可靠。 IBI的光谱分析和使用LF / HF比率似乎是表明心理工作量的更好候选者。驾驶员在RSME上完成的心理工作量的评级与此比率很好。 IBI的光谱分析确实需要更多的数据处理,并且不允许ECG数据中的太多人工制品,这更难以防止应用的汽车设置而不是实验室设置。

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