Department of Management Information System, National Pingtung University of Science & Technology, 1, Shuefu Road, Neipu, Pingtung 912, Taiwan.
Sensors (Basel). 2013 Jun 26;13(7):8199-221. doi: 10.3390/s130708199.
Driving safety has become a global topic of discussion with the recent development of the Smart Car concept. Many of the current car safety monitoring systems are based on image discrimination techniques, such as sensing the vehicle drifting from the main road, or changes in the driver's facial expressions. However, these techniques are either too simplistic or have a low success rate as image processing is easily affected by external factors, such as weather and illumination. We developed a drowsiness detection mechanism based on an electroencephalogram (EEG) reading collected from the driver with an off-the-shelf mobile sensor. This sensor employs wireless transmission technology and is suitable for wear by the driver of a vehicle. The following classification techniques were incorporated: Artificial Neural Networks, Support Vector Machine, and k Nearest Neighbor. These classifiers were integrated with integration functions after a genetic algorithm was first used to adjust the weighting for each classifier in the integration function. In addition, since past studies have shown effects of music on a person's state-of-mind, we propose a personalized music recommendation mechanism as a part of our system. Through the in-car stereo system, this music recommendation mechanism can help prevent a driver from becoming drowsy due to monotonous road conditions. Experimental results demonstrate the effectiveness of our proposed drowsiness detection method to determine a driver's state of mind, and the music recommendation system is therefore able to reduce drowsiness.
随着智能汽车概念的发展，驾驶安全已成为全球讨论的话题。许多现有的汽车安全监控系统基于图像识别技术，例如感测车辆偏离主路，或驾驶员面部表情的变化。然而，这些技术要么过于简单，要么成功率较低，因为图像处理很容易受到外部因素的影响，例如天气和光照。我们开发了一种基于驾驶员脑电图 (EEG) 读数的瞌睡检测机制，该读数由市售的移动传感器采集。该传感器采用无线传输技术，适合车辆驾驶员佩戴。采用了以下分类技术：人工神经网络、支持向量机和 k 最近邻。这些分类器在遗传算法首先用于调整集成函数中每个分类器的权重后，与集成函数集成。此外，由于过去的研究表明音乐对人的心理状态有影响，我们提出了个性化音乐推荐机制作为系统的一部分。通过车载立体声音响系统，该音乐推荐机制可以帮助防止驾驶员因单调的路况而昏昏欲睡。实验结果证明了我们提出的瞌睡检测方法确定驾驶员心理状态的有效性，因此音乐推荐系统能够减少瞌睡。
