Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN
نویسندگان
چکیده
منابع مشابه
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks
The task of classifying videos of natural dynamic scenes into appropriate classes has gained lot of attention in recent years. The problem especially becomes challenging when the camera used to capture the video is dynamic.In this paper, we propose a statistical aggregation (SA) solution based on convolutional neural networks (CNNs) to address this problem. We call our approach as SA-CNN. The a...
متن کاملDetection of schizophrenia patients using convolutional neural networks from brain effective connectivity maps of electroencephalogram signals
Background: Schizophrenia is a mental disorder that severely affects the perception and relations of individuals. Nowadays, this disease is diagnosed by psychiatrists based on psychiatric tests, which is highly dependent on their experience and knowledge. This study aimed to design a fully automated framework for the diagnosis of schizophrenia from electroencephalogram signals using advanced de...
متن کاملDriver Fatigue Detection System Based on DM3730
Driver fatigue is a popular problem which has attracted people’s views. Many research departments are researching driver fatigue detection in order to improve the traffic safety. This paper presented a driver fatigue detection system based on DM3730. The system calculated the inter-image difference between frames captured by near-infrared light irradiation, which included identification of the ...
متن کاملQuery Intent Detection using Convolutional Neural Networks
Understanding query intent helps modern search engines to improve search results as well as to display instant answers to the user. In this work, we introduce an accurate query classification method to detect the intent of a user search query. We propose using convolutional neural networks (CNN) to extract query vector representations as the features for the query classification. In this model,...
متن کاملFace Detection Using GPU-Based Convolutional Neural Networks
In this paper, we consider the problem of face detection under pose variations. Unlike other contributions, a focus of this work resides within efficient implementation utilizing the computational powers of modern graphics cards. The proposed system consists of a parallelized implementation of convolutional neural networks (CNNs) with a special emphasize on also parallelizing the detection proc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2020
ISSN: 1687-5273,1687-5265
DOI: 10.1155/2020/7251280