论文标题
部分可观测时空混沌系统的无模型预测
Drowsiness detection in drivers with a smartwatch
论文作者
论文摘要
这项工作的主要目的是尽早发现驾驶员是否表现出嗜睡症状，表明他/她正在入睡，在这种情况下，会产生警报以唤醒他/她。为了解决此问题，已经设计了一个应用程序，该应用程序在驾驶时通过智能手表收集各种参数。首先，应用程序检测到驾驶动作。然后，它收集有关驾驶时最重要的生理变量的信息。另一方面，鉴于设计应用程序中管理的数据的敏感性很高，在这项工作中，已经特别注意实施的安全性。拟议的解决方案改善了道路安全性，减少了驾驶时嗜睡引起的事故数量。
The main objective of this work is to detect early if a driver shows symptoms of sleepiness that indicate that he/she is falling asleep and, in that case, generate an alert to wake him/her up. To solve this problem, an application has been designed that collects various parameters, through a smartwatch while driving. First, the application detects the driving action. Then, it collects information about the most significant physiological variables of a person while driving. On the other hand, given the high level of sensitivity of the data managed in the designed application, in this work special attention has been paid to the security of the implementation. The proposed solution improves road safety, reducing the number of accidents caused by drowsiness while driving.
