Automatic Fatigue Detection System
نویسنده
چکیده
Fatigue is the cause of a large number of car accidents in the United States. Studies done by the National Highway Traffic Safety Administration, estimate that about 1,550 deaths, 71,000 injuries, and 12.5 billion dollars in monetary losses are the cost of fatigue related car accidents each year. To prevent these accidents, there are a number of devices available in the market. Many of these products are small devices worn by drivers on their ear that generate an alarm when the driver’s head falls forward. However, these devices produce the alarm after the driver is no longer in conditions to be driving. The alarm essentially makes the driver wake up and can itself be the cause of an abrupt reaction that can lead to an accident. An alternative and better approach is proposed by [1]. Here, a computer vision-based system is described that keeps track of the eyes and detects the sleep onset of fatigued drivers. The proposed system uses template matching for detecting the state of the eyes. This approach however, is computationally intensive, it is subject-dependent and requires calibration routines for adjusting for light conditions. In this paper, we present a more robust alternative based on machine learning for detecting and tracking the fatigue level of a driver.
منابع مشابه
Pic Microcontroller-Based Automatic Meter Reading (AMR) System Using the Low Voltage (LV) Power Line Network (TECHNICAL NOTE)
Automatic Meter Reading (AMR) is the remote collection of consumption data from customer’s utility meters over telecommunications, radio, power line and other links. AMR provides water, electric and gas utility service companies the opportunity to streamline metering, billing and collection activities, increase operational efficiency and improve customer service. The AMR system consists of thre...
متن کاملBayes Networks and Fault Tree Analysis Application in Reliability Estimation (Case Study: Automatic Water Sprinkler System)
In this study, the application of Bayes networks and fault tree analysis in reliability estimation have been investigated. Fault tree analysis is one of the most widely used methods for estimating reliability. In recent years, a method called "Bayes Network" has been used, which is a dynamic method, and information about the probable failure of the system components will be updated according to...
متن کاملIntelligent Fatigue Detection and Automatic Vehicle Control System
This paper describes method for detecting the early signs of fatigue in train drivers. As soon as the train driver is falling in symptoms of fatigue immediate message will be transfer to the control room indicating the status of the drivers. In addition of the advance technology of heart rate sensors is also added in the system for correct detection of status of driver if in either case driver ...
متن کاملDimensionality Reduction and Improving the Performance of Automatic Modulation Classification using Genetic Programming (RESEARCH NOTE)
This paper shows how we can make advantage of using genetic programming in selection of suitable features for automatic modulation recognition. Automatic modulation recognition is one of the essential components of modern receivers. In this regard, selection of suitable features may significantly affect the performance of the process. Simulations were conducted with 5db and 10db SNRs. Test and ...
متن کاملReducing Light Change Effects in Automatic Road Detection
Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...
متن کامل