The present study aimed to evaluate the functional connectivity (FC) in relevant cortex areas during simulated driving with distraction based on functional near-infrared spectroscopy (fNIRS) method. Twelve subjects were recruited to perform three types of driving tasks, namely, straight driving, straight driving with secondary auditory task, and straight driving with secondary visual vigilance ...

Automobile crashes are the leading cause of death for those aged 3 to 33, with 43,005 (118 per day) Americans killed in 2002 alone. Seat belt use reduces the risk of serious injury in an accident, and refraining from using a cell phone while driving reduces the risk of an accident. Cell phone use while driving increases accident rates, and leads to 2,600 U.S. fatalities each year. An active pro...

Distracted driving is any activity that deviates an individual’s attention from driving. Some of these activities include talking to people in the vehicle, using hand-held devices such as mobile phones or tablets, eating drinking, and adjusting stereo navigation systems while To counter effects caused by distracted driving, many countries around world have imposed rules charged fines on drivers...

A study was conducted to compare the efficacy of two methods of obtaining the joint exposure needed to perform arthrodesis or exploration of various joints of the foot. The investigation was performed by means of simulated arthrodesis in a cadaveric model. On each specimen, a single investigator performed standard incisions and dissection as typically performed for surgical arthrodesis of the f...

This study modeled the crash severity of elderly drivers using data from state Virginia, United States, for period 2014 through to 2021. The impact several exogenous variables on level was investigated. A multilevel ordinal logistic regression model (M-OLR) utilized account spatial heterogeneity across different physical jurisdictions. findings discussed herein indicate that M-OLR can handle an...

Abstract Driver distraction has been deemed a major cause of traffic accidents. However, drivers’ brain response activities to different types have not well investigated. The purpose this study is investigate the electroencephalography (EEG) tasks. In conducted simulation tests, three secondary tasks (i.e., clock task, 2-back and navigation task) are designed induce driver distractions. Twenty-...

This paper presents initial work on a context-dependent driver distraction detection algorithm called AttenD2.0, which extends the original AttenD with elements from Minimum Required Attention (MiRA) theory. Central to is time buffer keeps track of how often and for long looks away forward roadway. When depleted when looking back fills up. If runs empty classified as distracted. AttenD2.0 this ...

Distraction while driving occurs when a driver is engaged in non-driving activities. These activities reduce the driver’s attention and focus on road, therefore increasing risk of accidents. As consequence, number accidents increases infrastructure damaged. Cars are now equipped with different safety precautions that ensure awareness at all times. The first step for such systems to define wheth...