DRIVER FATIGUE AND DROWSINESS MONITORING SYSTEM S.Sithankatthan,Dr.P.K.Jawahar, P.G.Student,Head Of Department Department of ECE, B.S.Abdur Rahman University, [email protected],[email protected]Abstract- while driving in order to prevent the accidents. Driver drowsiness detection plays an important role in driver assistance systems. The main idea is to detect the drowsiness of a person This proposed approach will be a new accident avoidance system by reducing the complexity in the hardware which is going to be implemented in an automobile. The two main objectives of this system are to measure the pulse rate of the driver to detect his drowsiness/ fatigueness and to reduce the complexity in developing the control application such as speed control of a vehicle and giving an emergency signal through SMS to the nearest hospitals by using CAN protocol. Keywords: pulse rate, speed control, CAN protocol I. INTRODUCTION Nearly 80% of accidents are occurring due to drowsiness and fatigue of driver. Several researches on developing drowsiness detection systems for drivers have been reported in the literature and proposed in the way of a non- intrusive monitoring. These drowsiness detection methods can be categorised into two major approaches. Video recognition techniques using camera images have been used widely in the method. This approach analyses the images captured by cameras to detect physical changes in drivers, such as eyelid movement, eye gaze, yawning and head nodding. This vision-based method is not very accurate because it is severely affected by environmental backgrounds, driving conditions and driver activities. A few cases have been studied to monitor the condition of car drivers using non-intrusive biomedical signal measurement to detect driver‟s fatigue and drowsiness. The non-intrusive biomedical signal measurement method to detect driver drowsiness has the following advantages compared with video recognition technique. The biomedical signals measured can give significant information such as health, and fatigue in addition to drowsiness of the driver. However the measurement methods of biomedical signals, such as wired connection on brain , wearable chest belt and electrodes located driving chair , are still uncomfortable or inaccurate. Until now many efforts have been focused on how to obtain the biomedical signals under convenient and non-invasive
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