Using voice to keep awake
A Recent paper on using Voice Recognition and machine learning to detect drowsiness when driving. Jasim, S. S., Abdul Hassan , A. K. and Turner , S. (2022) “Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Voice Recognition”, ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY , 10(2), pp. 142-151. doi: 10.14500/aro.11000. Full text at: https://aro.koyauniversity.org/index.php/aro/article/view/1000 Globally, drowsiness detection prevents accidents. Blood biochemicals, brain impulses, etc., can measure tiredness. However, due to user discomfort, these approaches are challenging to implement. This article describes a voice-based drowsiness detection system and shows how to detect driver fatigue before it hampers driving. A neural network and Gray Wolf Optimizer are used to classify sleepiness automatically. The recommended approach is evaluated in alert and sleep-deprived states on the driver tiredness detection voice real dataset. The approach used in speech re...