In addition, by integrating artificial intelligence including learning algorithm and biosensor circuits, it is possible to minimize disturbance to the driver or user through miniaturization and low power consumption.doi:10.1002/cpe.5471Hyun‐Sik Choi...
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy. - nishagandhi/DrowsyDriverDetection
Driver state detection is an important feature of Advance Driver Assistance Systems (ADAS) of automotive. Accurate determination of the driver's alert/drowsy condition avoids accidents and offers safety to both driver and vehicle. The electroencephalogram (EEG) based method of determining driver's ...
Driver state detection is an important feature of automotive advanced driver assistance systems. Accurate determination of the driver's alert/drowsy condition avoids accidents and offers safety to both driver and vehicle. The electroencephalogram (EEG) based method of determining a driver's alert/drowsy...
However, wearing measuring devices can be uncomfortable for the driver and the cost of obtaining data is high. For these reasons, biometric-signal-based drowsy driving detection has significant practical drawbacks due to its invasive nature, which can cause discomfort for the driver. Consequently, ...