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This document presents a method for detecting driver drowsiness based on analyzing changes in the respiratory signal. The proposed algorithm analyzes respiratory rate variability to detect the "fight against falling asleep". It was validated using a driving simulator with external observers rating alertness. The algorithm achieved a specificity of 96.6%, sensitivity of 90.3%, and kappa score of 0.75, on average across subjects. The proposed method provides real-time drowsiness detection through identificati

Author

Nick Rathod

Language

EN