SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Vanjani HB, Varyani U. Int. J. Appl. Eng. Res. 2019; 14(4): 845-848.

Copyright

(Copyright © 2019, Research India Publications)

DOI

unavailable

PMID

unavailable

Abstract

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.


Language: en

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print