(1) evaluate the drowsy results(*_drowsiness.txt) for the evaluation dataset; (2) output the accuracy score for both indivial video and overall video. In order to use the evaluation function with your detection algorithm, you will have to make sure the format of your algorithm and compared ...
The number of accidents during driving is increasing day by day and drowsy driving has been implicated as a causal factor of road accidents. Research on driver drowsiness detection is important to improve road traffic safety. However, most of the conventional methods are intrusive since they often...
to have a good CNN model for detecting driver drowsiness, we require a dataset with appropriate diversity covering all possible states of a driver, including normal, fatigue, and drowsy conditions during driving. The following steps outline the dataset creation process: Collecting and Selecting Videos...
Drowsiness impairs drivers’ concentration and reaction time, doubling the risk of car accidents. Various methods for detecting drowsy driving have been proposed that rely on facial changes. However, they have poor detection for drivers wearing a mask or
Detecting human driver inattentive and aggressive driving behavior using deep learning: Recent advances, requirements and open challenges. IEEE Access 2020, 8, 105008–105030. [Google Scholar] [CrossRef] Ed-Doughmi, Y.; Idrissi, N.; Hbali, Y. Real-time system for driver fatigue detection ...