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首页> 外文会议>Proceedings of the 6th European Embedded Design in Education and Research Conference >Acquisition and processing of the physiologic signal to prevent driving accidents
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Acquisition and processing of the physiologic signal to prevent driving accidents

机译：采集和处理生理信号以防止驾驶事故

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摘要

Drowsiness and fatigue are one of the most important causes of accidents on the road. Several methods have been investigated for early detection of drowsiness and fatigue to trigger the appropriate interaction between the driver and the vehicle. The physiological information, mainly the heart rate variability (HRV) demonstrate to be very effective for predicting the drowsiness and the fatigue that is oncoming to the car driver. A computational model has been developed in MATLAB to process data acquired in a non-invasive mode from the driver and to infer about the onset of the drowsiness and the fatigue. A prototype has been developed to test the model in field using the Texas Instruments highly integrated analog front-end ADS 1298 for physiological data acquisition and the DSP TMS320C5515 for real-time execution of the signal processing algorithms and of the inference logic.
机译：困倦和疲劳是道路交通事故的最重要原因之一。已经研究了几种方法来及早发现睡意和疲劳，以触发驾驶员和车辆之间的适当相互作用。生理信息（主要是心率变异性（HRV））被证明对预测汽车驾驶员即将出现的困倦和疲劳非常有效。在MATLAB中开发了一种计算模型，以处理以非侵入性方式从驾驶员处获取的数据，并推断出困倦和疲劳的发作。已经开发出一个原型，以使用德州仪器（TI）高度集成的模拟前端ADS 1298（用于生理数据采集）和DSP TMS320C5515（用于实时执行信号处理算法和推理逻辑）在现场测试模型。

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