Mejdi Ben Dkhil

Ecole Nationale d'Ingénieurs de Sfax | ENIS · Computer Engineering and Applied Mathematics Department

In this paper, we try to analyze drowsiness which is a major factor in many traffic accidents due to the clear decline in the attention and recognition of danger drivers. The object of this work is to develop an automatic method to evaluate the drowsiness stage by analysis of EEG signals records. The absolute band power of the EEG signal was comput...

In this study, we present a hierarchical fuzzy system by evaluating the risk state for a Driver Assistance System in order to contribute in reducing the road accident's number. A key component of this system is its ability to continually detect and test the inside and outside risks in real time: The outside car risks by detecting various road movin...

Drowsiness, which is the state when drivers do not have scheduled breaks while traveling long distances, is the main reason behind serious motorway accidents. Accordingly, experts claim that drowsy state is hard to be recognized early enough to prevent serious accidents that may lead even to road deaths. In this work, we propose a new drowsiness st...

Driver drowsiness problem is considered as one of the most important reasons that increases road accidents number. We propose in this paper a new approach for realtime driver drowsiness in order to prevent road accidents. The system uses a smart video camera that takes drivers faces images and supervises the eye blink (open and close) state and hea...

In this paper, we present the important role of alpha band for the evaluation of the drowsiness degree. By filtering the alpha band and by using the power spectral density of that same band, our data were analyzed using the percentiles as measures of dispersion. A threshold discriminating the two states was found, which helped to highlight the area...

Road moving object detection and tracking present an important role for highway traffic surveillance control management and traffic planning. In this work, we propose a new application in an Advanced Driver Assistance System (A.D.A.S) in order to participate in the reduction of the significant number of road accidents. Road moving object detection...

In this work, we propose a new application for road moving object detection in the goal to participate in reducing the big number of road accidents. Road moving object detection in a traffic video is a difficult task. Hence, in this work we present a new system in order to control the outside car risks by detecting and tracking of different road mo...

Driver drowsiness problem is considered as one of the most important reasons that increases road accidents number. We propose in this paper a new approach for real-time driver drowsiness in order to prevent road accidents. The system uses a smart video camera that takes drivers faces images and supervises the eye blink (open and close) state and he...