IOT Projects
Real-Time Driving Monitor System: Combined Cloud Database with GPS
Abstract
Abstract: In recent years, EEG brainwave-reading device is used more and more in various academic fields and real life. Analyzing brainwave from drivers, we divide the brainwave data into light fatigue, medium fatigue and severe fatigue. Once the driver's Low-α <;0.7, High-α <;0.5, θ>0.5, or attention and meditation less than 40 degrees, then the system is determined that the driver is lethargic or inattention. The system will be based on the status of the different layers of the driving fatigue, showing the red, yellow and green lights warming message. Use the mobile device to alert the driver, and record the information in the database. In addition, the system is collocated with GPS positioning function. The user's brainwaves and GPS data will be integrated and analyzed after uploaded to the cloud server, to remind drivers if there are dangerous drivers within a radius of 20 meters what should be aware of. classification algorithms .
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