Driver drowsiness monitoring based on yawning detection

Abstract

This informed consent form is to make sure that you understand the nature of your involvement in this study, and to obtain your informed consent to participate in this study.Procedure: You will be asked to sit in the driver's seat of a parked car. Three different videos have to be taken from the frontal view of your face in conditions of yawning, talking, and normal closed mouth. The entire recording session will last about 5 minutes.Withdrawing from the study: Your participation in this study is voluntary. You may withdraw from the study at any time, by verbally informing the investigator or any of the researchers, even after signing the form. There will be no consequences following this action.Compensation: You will not receive monetary compensation for this study.Disclosure: You agree for the above-mentioned videos captured of you to be made available to researchers, from all over the world, for research and further study, on publically-accessible websites and for non-commercial purposes.Confidentiality: ther than the above "Disclosure", all other information about you collected during the study will be kept strictly confidential. Your name will not be associated with the collected data in any way. The data collection will be conducted by Dr. Shirmohammadi, his graduate students, or research fellows, or his research assistant.In closing: With your participation, you will be given a copy of this consent form. At the conclusion of the study, should you wish, you will be provided with a summary of the results. You may ask questions at any time, even after signing this consent form.Signatures: I have read the above description of the study and understand the conditions of participation. My signature indicates that I agree to participate in the study.

A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection

“…In some driver hypo-vigilance detection systems such as [21,28,39,40,77], open or closed mouth was used as a measure of driver fatigue. Most of these systems detect the mouth based on red color features of lips.…”

“…In [28,77], open mouth was detected based on the ratio of width to height of mouth. If mouth is closed, this ratio is low and it is higher when mouth is open.…”

Un nuevo sistema para detectar la distracción y la somnolencia utilizando el tiempo de tecnología de vuelo para vehículos inteligentes

“…The first symptom of sleepiness is yawning [21]; this was taken as an activation event for the alarm in the algorithm.…”

Vision based composite approach for lethargy detection

“…Some researchers used one factor (eyes or yawning) to detect fatigue while others used multiple factors (eyes, yawning and head position) to detect the vigilance level of the driver. [5] Proposed a system based on one factor yawning detection. This system detects drowsiness in 5 stages.…”

“…Problem with physiological approach is that it is intrusive [3] and vehicle based approach is less sensitive and limited to vehicle type [4]. However fatigue detection using driving behavior approach is non intrusive , and more reliable [5], [6].…”