Real time wireless brain–computer interface system for drowsiness detection


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Real time wireless brain–computer interface system for drowsiness detection

  1. 1. Real-Time Wireless Brain–Computer Interface System for Drowsiness Detection A real-time wireless electroencephalogram (EEG)-based brain–computer interface (BCI) system for drowsiness detection has been proposed. Drowsy driving has been implicated as a causal factor in many accidents. Therefore, real-time drowsiness monitoring can prevent traffic accidents effectively. However, current BCI systems are usually large and have to transmit an EEG signal to a back-end personal computer to process the EEG signal. In this study, a novel BCI system was developed to monitor the human cognitive state and provide biofeedback to the driver when drowsy state occurs. The proposed system consists of a wireless physiological signal-acquisition module and an embedded signal-processing module. Here, the physiological signal-acquisition module and embedded signal-processing module were designed for long-term EEG monitoring and real-time drowsiness detection, respectively. The advantages of low power consumption and small volume of the proposed system are suitable for car applications. Moreover, a real-time drowsiness detection algorithm was also developed and implemented in this system. The experiment results demonstrated the feasibility of our proposed BCI system in a practical application. Existing System: Most of the death occurs due to lack of concentration of the doctor. The number of deaths increases due to lack of preventive measures. Proposed system: The system is divided into two phases. The first is the acquisition module and wireless transmission module, second is data receiver module. The device used in the acquisition module is responsible for acquiring EEG signal; the driver drowsiness is sensed by electroencephalogram (EEG) sensor. The EEG sensor output is connected with PIC microcontroller, then the microcontroller monitoring driver drowsiness according to sensor signal. If the sensor value is
  2. 2. exceeding the limit of threshold value, the microcontroller enables the buzzer and shows EEG status in LCD. The PIC transmits the EEG data to the PC using Bluetooth wireless protocol. Based on stored in PC. Doctor can know the patient status. Block Diagram: Transmitter Section: Power Supply LCD Alarm EEG Sensor PIC 16F877A Bluetooth
  3. 3. Receiver Section: Bluetooth Hardware Requirements:  PIC Microcontroller.  EEG Sensor  Bluetooth module.  LCD  Buzzer  PC Software Requirements:  Embedded C
  4. 4.  CCS or MP Lab Compiler