In order to give a warning to the drowsy driver, this paper proposes a new Fatigue Driving Detection Algorithm. AdaBoost algorithm is applied to fast detect and track human faces, and the algorithm is implemented in FPGA; differential template-based multi-algorithms are used to localize human eyes and recognize eye states; PERCLOS algorithm is adopted to analyze and determine whether a person i...

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...

One of the major reasons for road accidents now a days is due to driver fatigue. Be it long distant travelling or drunk driving drowsy state leads to risky crashes which is hazardous to lives as well. To overcome such accidents some method has to be developed that is feasible to all vehicle drivers . This paper is a survey based on various methods for preventing road accidents and designs on dr...

With the progress of science technology and the vehicle industry, there are more and more vehicles on the road. As a result, the heavy traffic often leads to more and more traffic accidents. In common traffic accident, the driver’s inattention is usually a main reason. To avoid this situation, this paper proposes a sleepy eye's recognition system for drowsiness detection. First, a cascaded Adab...

Driver drowsiness is a major cause of fatal accidents, injury, and property damage, and has become an area of substantial research attention in recent years. The present study proposes a method to detect drowsiness in drivers which integrates features of electrocardiography (ECG) and electroencephalography (EEG) to improve detection performance. The study measures differences between the alert ...

This paper describes the design and implementation of a driver drowsiness detection (DDD) system using modified RiscV processor on field-programmable gate array (FPGA). To detect drowsiness, Convolutional Neural Network (CNN) is implemented processor. The CNN trained to classify four primary driver’s expressions, including distraction, natural, sleep, yawn. accuracy 81.07% validation dat...

This work presents the development of an ADAS (advanced driving assistance system) focused on driver drowsiness detection, whose objective is to alert drivers their drowsy state avoid road traffic accidents. In a environment, it necessary that fatigue detection performed in non-intrusive way, and not bothered with alarms when he or she drowsy. Our approach this open problem uses sequences image...

The recent technology in digital computing created many ways of drowsiness detection. This is important because of the increased numbers of accidents caused by drowsy drivers. In this paper, an approach for detecting drowsiness state by continuously analyzing EEG signals is proposed. Using a single dry-sensor EEG headset, a real-time system that monitors and analyzes the EEG signal of the drive...

Advanced Driver Assistance Systems are used to increase the security of vehicles. Computer Vision is one of the main technologies used for this aim. Lane marks recognition, pedestrian detection, driver drowsiness or road sign detection and recognition are examples of these systems. The last one is the goal of this paper. A system that can detect and recognize road signs based on color and shape...