The Mechanical Design of Drowsiness Detection Using Color Based Features
Authors
Abstract:
This paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. This system can be used in multiple places. For example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. This system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. After processing the input image and eye position detection, the system investigates the state of the eye, and in the case of drowsiness, the system activates the alarm. It also has the ability to tra ck the eyes.
similar resources
the mechanical design of drowsiness detection using color based features
this paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. this system can be used in multiple places. for example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. this system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. a...
full textEeg-based Drowsiness Detection Using Support Vector
......................................................................................................................ii DEDICATION ................................................................................................................... v ACKNOWLEDGEMENTS .............................................................................................. vi TABLE OF CONTENTS .................
full text特集 Drowsiness Detection Using Facial Expression Features*
This paper presents the method of detecting driver’s drowsiness level from the facial expression. The motivation for this research is to realize the novel safety system which can detect the driver’s slight drowsiness and keep the driver awake while driving. The brain wave is commonly used as the drowsiness index. However, it is not suitable for the in-vehicle system since it is measured with se...
full textEEG-based Drowsiness Detection for Safe Driving Using Chaotic Features and Statistical Tests
Electro encephalography (EEG) is one of the most reliable sources to detect sleep onset while driving. In this study, we have tried to demonstrate that sleepiness and alertness signals are separable with an appropriate margin by extracting suitable features. So, first of all, we have recorded EEG signals from 10 volunteers. They were obliged to avoid sleeping for about 20 hours before the test....
full textThe origin of the carpet depends on Savojbolagh: Features and how its design, color and patterns
Patterns in Iranian art should be called message painting and expression painting, which sometimes manifests itself directly and sometimes in symbolic language. One of the places of expression and emergence of symbols in Iran is the "carpet". In addition to the traditional and local aspects, these patterns and expressions can express the creative mind influenced by the environment around the ca...
full textthe impact of skopos on syntactic features of the target text
the present study is an experimental case study which investigates the impacts, if any, of skopos on syntactic features of the target text. two test groups each consisting of 10 ma students translated a set of sentences selected from advertising texts in the operative and informative mode. the resulting target texts were then statistically analyzed in terms of the number of words, phrases, si...
15 صفحه اولMy Resources
Journal title
volume 4 issue 13
pages 47- 54
publication date 2015-06-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023