基于卷积神经网络的汽车驾驶员面部表情实时预测智能系统

Pawan Wawage, Y. Deshpande
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引用次数: 4

摘要

开车时,最重要的是要考虑自己的安全。司机必须保持在观察任何潜在的有害行为,无论是有意的还是无意的,以确保司机的安全导航。因此,开发了一种驾驶员实时情绪检测系统,用于检测、利用和评估驾驶员的情绪状态。本文讨论了如何利用面部表情识别驾驶员的情绪,以便在驾驶员主动安全系统中应用。本文讨论了基于卷积神经网络的人脸表情分类智能系统的研究与开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Prediction of Car Driver's Emotions using Facial Expression with a Convolutional Neural Network-based Intelligent System
When driving, the most crucial factor to consider is your own safety. Driver’s must be kept under observation for any potential harmful act, whether intentional or inadvertent, in order to ensure a safe navigation for a driver. As a result, a real-time emotion detection system for a driver has been developed to detect, exploit, and evaluate the driver's emotional state. This paper discusses how to recognize emotions using facial expressions for application in active security systems for drivers. We discuss our research and development of a Convolutional Neural Network-based intelligent system for face image-based expression classification in this paper.
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