基于前额眼电眼部行为分析的疲劳检测

发布时间：2018-08-06 08:37

【摘要】：本文实现了一个通过把电极置于前额的采集眼电信号的新方法并且用采集到的前额眼电信号进行人的疲劳检测，然后证明了这一方法的正确性。与传统的将电极置于眼睛四周的采集眼电信号的方式相比，前额眼电信号可以使得人在佩戴过程中更加舒服。通过实验验证，我们发现了将电极摆放在前额的最佳电极个数和摆放位置。通过这种前额眼电信号采集方式，，我们可以很好地恢复出传统的垂直眼电信号和水平眼电信号，用它们能够提取出与传统眼电信号相同的特征用于疲劳检测。与此同时，我们抛弃了传统的疲劳检测中所使用的基于睡眠阶段研究的慢速眼动和快速眼动特征，实现了从眼电信号中分析眼部行为的方法，并且将眼部行为作为特征用于疲劳检测。这一方法具有更高的精度和更快的处理速度，采集信号也更方便，能够成为一套完整的在线算法。通过与干电极采集技术相结合，这一方法有着广泛的实用前景。
[Abstract]:In this paper, a new method of collecting Eye-electric signals by placing electrodes on the forehead is implemented, and the human fatigue is detected with the collected Eye-signals, and the correctness of this method is proved. Compared with the traditional way of collecting Eye-electric signals by placing electrodes around the eyes, the frontal Eye-electric signals can make people more comfortable in the process of wearing. Through experimental verification, we found the optimal number and position of electrodes placed on the forehead. By using this method, we can recover the traditional vertical and horizontal eye signals, which can be used to extract the same features as the traditional ones for fatigue detection. At the same time, we have abandoned the slow eye movement and rapid eye movement characteristics based on sleep stage research used in traditional fatigue detection, and realized the method of analyzing eye behavior from Eye-electric signals. Eye behavior is used as a feature for fatigue detection. This method has higher accuracy, faster processing speed and more convenient to collect signals. It can become a complete set of online algorithm. By combining with dry electrode acquisition technology, this method has a wide range of practical prospects.
【学位授予单位】：上海交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R338;TN911.7

【共引文献】