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首页> 外文期刊>International Journal of Applied Engineering Research >Identify Dozyness of Person Using Deep Learning
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Identify Dozyness of Person Using Deep Learning

机译:使用深度学习识别人的悲乳

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摘要

Many accidents per year are caused by driver sleepiness. There are no examination exists to determine sleepiness of driver as there is for intoxication detection. Detection of driver sleepiness is gaining importance in the field of Computer Vision and Machine Learning. Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) have been very successful in processing of frames of a video. In this paper, we propose a driver sleepiness identification method using Convolutional Neural Networks (CNNs) to extract information from images and feed sequence of images to the LSTMs for identification of sleepiness.
机译:每年许多事故是由司机嗜睡引起的。 存在没有考试以确定驾驶员的睡眠,因为有毒性检测。 驾驶员嗜睡的检测是在计算机视觉和机器学习领域的重要性。 经常性的神经网络(RNN)和长期短期内存(LSTM)在处理视频的帧时非常成功。 在本文中,我们提出了一种使用卷积神经网络(CNN)的驾驶嗜睡识别方法,以从图像和馈送图像的信息和馈送到LSTM的信息以识别嗜睡。

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